214 provides for searching for a business, and/or searching for products/services provided by the business. Businesses and their respective products/services may be searchable by search parameters, such as by the attribute(s) of the objects as provided by the object detection system 212.

In one or more embodiments, the user-submitted review system 214 is configured to query third-party services using the search parameters. For example, the third-party services may correspond to applications (e.g., apps) directed to maintaining and publishing user-submitted reviews for businesses and their products/services. In response to a query from the user-submitted review system 214, the third-party services may facilitate in surfacing user interfaces that relate to user reviews and/or ratings. For example, the third-party services may facilitate in displaying a user interface within the messaging client 104, to add, edit and/or delete a personal review and/or a personal rating. In another example, the third-party services may facilitate in displaying a set of reviews within a user interface, where the set of reviews corresponds to business in general and/or to particular product(s)/service(s) provided by the business.

In one or more embodiments, the messaging system 100 may itself implement a user-submitted review service which provides for submission of reviews/ratings with respect to businesses and their products/services. For example, the messaging system 100 may manage and store user-submitted reviews within the database 124. Thus, as an alternative or supplement to querying the above-mentioned third-party services (e.g., directed to user-submitted reviews), the user-submitted review system 214 may be configured to query the database 124 to present user interfaces relating to user reviews and/or ratings.

FIG. 3 is a schematic diagram illustrating data structures 300, which may be stored in the database 124 of the messaging server system 108, according to certain examples. While the content of the database 124 is shown to comprise a number of tables, it will be appreciated that the data could be stored in other types of data structures (e.g., as an object-oriented database).

The database 124 includes message data stored within a message table 306. This message data includes, for any particular one message, at least message sender data, message recipient (or receiver) data, and a payload. Further details regarding information that may be included in a message, and included within the message data stored in the message table 306 is described below with reference to FIG. 4.

An entity table 308 stores entity data, and is linked (e.g., referentially) to an entity graph 304 and profile data 302. Entities for which records are maintained within the entity table 308 may include individuals, corporate entities, organizations, objects, places, events, and so forth. Regardless of entity type, any entity regarding which the messaging server system 108 stores data may be a recognized entity. Each entity is provided with a unique identifier, as well as an entity type identifier (not shown).

The entity graph 304 stores information regarding relationships and associations between entities. Such relationships may be social, professional (e.g., work at a common corporation or organization) interest-based or activity-based, merely for example.

The profile data 302 stores multiple types of profile data about a particular entity. The profile data 302 may be selectively used and presented to other users of the messaging system 100, based on privacy settings specified by a particular entity. Where the entity is an individual, the profile data 302 includes, for example, a user name, telephone number, address, settings (e.g., notification and privacy settings), as well as a user-selected avatar representation (or collection of such avatar representations), if any. A particular user may then selectively include one or more of these avatar representations within the content of messages communicated via the messaging system 100, and on map interfaces displayed by messaging clients 104 to other users.

Where the entity is a group, the profile data 302 for the group may similarly include one or more avatar representations associated with the group, in addition to the group name, members, and various settings (e.g., notifications) for the relevant group.

The database 124 further includes a travel parameters table 318 for storing respective travel parameters for users. While the travel parameters table 318 is depicted as separate from the profile data 302, it is possible for the travel parameters table 318 to be included as part of the profile data 302. Thus, each entity/user may have respective travel parameters associated therewith. Examples of travel parameters include, but are not limited to: travel schedules, transportation schedules, general locations, specific venues or landmarks, activities, participants (e.g., friends who are participating in all or part of the traveling) and/or topics of interest.

The messaging system 100 may populate the travel parameters table 318 based on user-submitted content provided within the messaging client 104 (e.g., content within message threads, and/or in association with travel-planning user interfaces provided by the messaging system 100). Alternatively or in addition, the messaging system 100 may populate the database 124 based on content from third-party applications (e.g., content from third-party email/text message applications, calendar applications, flight applications, hotel applications, etc.). In one or more embodiments, a user may opt-in and/or otherwise authorize populating the travel parameters table 318 with content from within the messaging system 100 and/or from third-party applications.

The database 124 also stores augmentation data, such as overlays or filters, in an augmentation table 310. The augmentation data is associated with and applied to videos (for which data is stored in a video table 314) and images (for which data is stored in an image table 316).

Filters, in one example, are overlays that are displayed as overlaid on an image or video during presentation to a recipient user. Filters may be of various types, including user-selected filters from a set of filters presented to a sending user by the messaging client 104 when the sending user is composing a message. Other types of filters include geolocation filters (also known as geo-filters), which may be presented to a sending user based on geographic location. For example, geolocation filters specific to a neighborhood or special location may be presented within a user interface by the messaging client 104, based on geolocation information determined by a Global Positioning System (GPS) unit of the client device 102.

Another type of filter is a data filter, which may be selectively presented to a sending user by the messaging client 104, based on other inputs or information gathered by the client device 102 during the message creation process. Examples of data filters include current temperature at a specific location, a current speed at which a sending user is traveling, battery life for a client device 102, or the current time.

Other augmentation data that may be stored within the image table 316 includes augmented reality content items (e.g., corresponding to applying Lenses or augmented reality experiences). An augmented reality content item may be a real-time special effect and sound that may be added to an image or a video.

As described above, augmentation data includes augmented reality content items, overlays, image transformations, AR images, and similar terms refer to modifications that may be applied to image data (e.g., videos or images). This includes real-time modifications, which modify an image as it is captured using device sensors (e.g., one or multiple cameras) of a client device 102 and then displayed on a screen of the client device 102 with the modifications. This also includes modifications to stored content, such as video clips in a gallery that may be modified. For example, in a client device 102 with access to multiple augmented reality content items, a user can use a single video clip with multiple augmented reality content items to see how the different augmented reality content items will modify the stored clip. For example, multiple augmented reality content items that apply different pseudorandom movement models can be applied to the same content by selecting different augmented reality content items for the content. Similarly, real-time video capture may be used with an illustrated modification to show how video images currently being captured by sensors of a client device 102 would modify the captured data. Such data may simply be displayed on the screen and not stored in memory, or the content captured by the device sensors may be recorded and stored in memory with or without the modifications (or both). In some systems, a preview feature can show how different augmented reality content items will look within different windows in a display at the same time. This can, for example, enable multiple windows with different pseudorandom animations to be viewed on a display at the same time.

Data and various systems using augmented reality content items or other such transform systems to modify content using this data can thus involve detection of objects (e.g., faces, hands, bodies, cats, dogs, surfaces, objects, etc.), tracking of such objects as they leave, enter, and move around the field of view in video frames, and the modification or transformation of such objects as they are tracked. In various embodiments, different methods for achieving such transformations may be used. Some examples may involve generating a three-dimensional mesh model of the object or objects, and using transformations and animated textures of the model within the video to achieve the transformation. In other examples, tracking of points on an object may be used to place an image or texture (which may be two dimensional or three dimensional) at the tracked position. In still further examples, neural network analysis of video frames may be used to place images, models, or textures in content (e.g., images or frames of video). Augmented reality content items thus refer both to the images, models, and textures used to create transformations in content, as well as to additional modeling and analysis information needed to achieve such transformations with object detection, tracking, and placement.

Real-time video processing can be performed with any kind of video data (e.g., video streams, video files, etc.) saved in a memory of a computerized system of any kind. For example, a user can load video files and save them in a memory of a device, or can generate a video stream using sensors of the device. Additionally, any objects can be processed using a computer animation model, such as a human's face and parts of a human body, animals, or non-living things such as chairs, cars, or other objects.

In some examples, when a particular modification is selected along with content to be transformed, elements to be transformed are identified by the computing device, and then detected and tracked if they are present in the frames of the video. The elements of the object are modified according to the request for modification, thus transforming the frames of the video stream. Transformation of frames of a video stream can be performed by different methods for different kinds of transformation. For example, for transformations of frames mostly referring to changing forms of object's elements characteristic points for each element of an object are calculated (e.g., using an Active Shape Model (ASM) or other known methods). Then, a mesh based on the characteristic points is generated for each of the at least one element of the object. This mesh used in the following stage of tracking the elements of the object in the video stream. In the process of tracking, the mentioned mesh for each element is aligned with a position of each element. Then, additional points are generated on the mesh. A first set of first points is generated for each element based on a request for modification, and a set of second points is generated for each element based on the set of first points and the request for modification. Then, the frames of the video stream can be transformed by modifying the elements of the object on the basis of the sets of first and second points and the mesh. In such method, a background of the modified object can be changed or distorted as well by tracking and modifying the background.

In some examples, transformations changing some areas of an object using its elements can be performed by calculating characteristic points for each element of an object and generating a mesh based on the calculated characteristic points. Points are generated on the mesh, and then various areas based on the points are generated. The elements of the object are then tracked by aligning the area for each element with a position for each of the at least one element, and properties of the areas can be modified based on the request for modification, thus transforming the frames of the video stream. Depending on the specific request for modification properties of the mentioned areas can be transformed in different ways. Such modifications may involve changing color of areas; removing at least some part of areas from the frames of the video stream; including one or more new objects into areas which are based on a request for modification; and modifying or distorting the elements of an area or object. In various embodiments, any combination of such modifications or other similar modifications may be used. For certain models to be animated, some characteristic points can be selected as control points to be used in determining the entire state-space of options for the model animation.

In some examples of a computer animation model to transform image data using face detection, the face is detected on an image with use of a specific face detection algorithm (e.g., Viola-Jones). Then, an Active Shape Model (ASM) algorithm is applied to the face region of an image to detect facial feature reference points.

In other examples, other methods and algorithms suitable for face detection can be used. For example, in some embodiments, features are located using a landmark, which represents a distinguishable point present in most of the images under consideration. For facial landmarks, for example, the location of the left eye pupil may be used. If an initial landmark is not identifiable (e.g., if a person has an eyepatch), secondary landmarks may be used. Such landmark identification procedures may be used for any such objects. In some examples, a set of landmarks forms a shape. Shapes can be represented as vectors using the coordinates of the points in the shape. One shape is aligned to another with a similarity transform (allowing translation, scaling, and rotation) that minimizes the average Euclidean distance between shape points. The mean shape is the mean of the aligned training shapes.

In some examples, a search for landmarks from the mean shape aligned to the position and size of the face determined by a global face detector is started. Such a search then repeats the steps of suggesting a tentative shape by adjusting the locations of shape points by template matching of the image texture around each point and then conforming the tentative shape to a global shape model until convergence occurs. In some systems, individual template matches are unreliable, and the shape model pools the results of the weak template matches to form a stronger overall classifier. The entire search is repeated at each level in an image pyramid, from coarse to fine resolution.

A transformation system can capture an image or video stream on the client device 102 and perform complex image manipulations locally on the client device 102 while maintaining a suitable user experience, computation time, and power consumption. The complex image manipulations may include size and shape changes, emotion transfers (e.g., changing a face from a frown to a smile), state transfers (e.g., aging a subject, reducing apparent age, changing gender), style transfers, graphical element application, and any other suitable image or video manipulation implemented by a convolutional neural network that has been configured to execute efficiently on the client device 102.

In some examples, a computer animation model to transform image data can be used by a system where a user may capture an image or video stream of the user (e.g., a selfie) using a client device 102 having a neural network operating as part of a messaging client 104 operating on the client device 102. The transformation system operating within the messaging client 104 determines the presence of a face within the image or video stream and provides modification icons associated with a computer animation model to transform image data, or the computer animation model can be present as associated with an interface described herein. The modification icons include changes that may be the basis for modifying the user's face within the image or video stream as part of the modification operation. Once a modification icon is selected, the transform system initiates a process to convert the image of the user to reflect the selected modification icon (e.g., generate a smiling face on the user). A modified image or video stream may be presented in a graphical user interface displayed on the client device 102 as soon as the image or video stream is captured, and a specified modification is selected. The transformation system may implement a complex convolutional neural network on a portion of the image or video stream to generate and apply the selected modification. That is, the user may capture the image or video stream and be presented with a modified result in real-time or near real-time once a modification icon has been selected. Further, the modification may be persistent while the video stream is being captured, and the selected modification icon remains toggled. Machine taught neural networks may be used to enable such modifications.

The graphical user interface, presenting the modification performed by the transform system, may supply the user with additional interaction options. Such options may be based on the interface used to initiate the content capture and selection of a particular computer animation model (e.g., initiation from a content creator user interface). In various embodiments, a modification may be persistent after an initial selection of a modification icon. The user may toggle the modification on or off by tapping or otherwise selecting the face being modified by the transformation system and store it for later viewing or browse to other areas of the imaging application. Where multiple faces are modified by the transformation system, the user may toggle the modification on or off globally by tapping or selecting a single face modified and displayed within a graphical user interface. In some embodiments, individual faces, among a group of multiple faces, may be individually modified, or such modifications may be individually toggled by tapping or selecting the individual face or a series of individual faces displayed within the graphical user interface.

A story table 312 stores data regarding collections of messages and associated image, video, or audio data, which are compiled into a collection (e.g., a Story or a gallery). The creation of a particular collection may be initiated by a particular user (e.g., each user for which a record is maintained in the entity table 308). A user may create a “personal Story” in the form of a collection of content that has been created and sent/broadcast by that user. To this end, the user interface of the messaging client 104 may include an icon that is user-selectable to enable a sending user to add specific content to his or her personal Story.

A collection may also constitute a “live Story,” which is a collection of content from multiple users that is created manually, automatically, or using a combination of manual and automatic techniques. For example, a “live Story” may constitute a curated stream of user-submitted content from varies locations and events. Users whose client devices have location services enabled and are at a common location event at a particular time may, for example, be presented with an option, via a user interface of the messaging client 104, to contribute content to a particular live Story. The live Story may be identified to the user by the messaging client 104, based on his or her location. The end result is a “live Story” told from a community perspective.

A further type of content collection is known as a “location Story,” which enables a user whose client device 102 is located within a specific geographic location (e.g., on a college or university campus) to contribute to a particular collection. In some examples, a contribution to a location Story may require a second degree of authentication to verify that the end user belongs to a specific organization or other entity (e.g., is a student on the university campus).

As mentioned above, the video table 314 stores video data that, in one example, is associated with messages for which records are maintained within the message table 306. Similarly, the image table 316 stores image data associated with messages for which message data is stored in the entity table 308. The entity table 308 may associate various augmentations from the augmentation table 310 with various images and videos stored in the image table 316 and the video table 314.

FIG. 4 is a schematic diagram illustrating a structure of a message 400, according to some examples, generated by a messaging client 104 for communication to a further messaging client 104 or the messaging server 116. The content of a particular message 400 is used to populate the message table 306 stored within the database 124, accessible by the messaging server 116. Similarly, the content of a message 400 is stored in memory as “in-transit” or “in-flight” data of the client device 102 or the application servers 114. A message 400 is shown to include the following example components:

- message identifier 402: a unique identifier that identifies the message 400.
- message text payload 404: text, to be generated by a user via a user interface of the client device 102, and that is included in the message 400.
- message image payload 406: image data, captured by a camera component of a client device 102 or retrieved from a memory component of a client device 102, and that is included in the message 400. Image data for a sent or received message 400 may be stored in the image table 316.
- message video payload 408: video data, captured by a camera component or retrieved from a memory component of the client device 102, and that is included in the message 400. Video data for a sent or received message 400 may be stored in the video table 314.
- message audio payload 410: audio data, captured by a microphone or retrieved from a memory component of the client device 102, and that is included in the message 400.
- message augmentation data 412: augmentation data (e.g., filters, stickers, or other annotations or enhancements) that represents augmentations to be applied to message image payload 406, message video payload 408, or message audio payload 410 of the message 400. Augmentation data for a sent or received message 400 may be stored in the augmentation table 310.
- message duration parameter 414: parameter value indicating, in seconds, the amount of time for which content of the message (e.g., the message image payload 406, message video payload 408, message audio payload 410) is to be presented or made accessible to a user via the messaging client 104.
- message geolocation parameter 416: geolocation data (e.g., latitudinal and longitudinal coordinates) associated with the content payload of the message. Multiple message geolocation parameter 416 values may be included in the payload, each of these parameter values being associated with respect to content items included in the content (e.g., a specific image into within the message image payload 406, or a specific video in the message video payload 408).
- message story identifier 418: identifier values identifying one or more content collections (e.g., “Stories” identified in the story table 312) with which a particular content item in the message image payload 406 of the message 400 is associated. For example, multiple images within the message image payload 406 may each be associated with multiple content collections using identifier values.
- message tag 420: each message 400 may be tagged with multiple tags, each of which is indicative of the subject matter of content included in the message payload. For example, where a particular image included in the message image payload 406 depicts an animal (e.g., a lion), a tag value may be included within the message tag 420 that is indicative of the relevant animal. Tag values may be generated manually, based on user input, or may be automatically generated using, for example, image recognition.
- message sender identifier 422: an identifier (e.g., a messaging system identifier, email address, or device identifier) indicative of a user of the Client device 102 on which the message 400 was generated and from which the message 400 was sent.
- message receiver identifier 424: an identifier (e.g., a messaging system identifier, email address, or device identifier) indicative of a user of the client device 102 to which the message 400 is addressed.

The contents (e.g., values) of the various components of message 400 may be pointers to locations in tables within which content data values are stored. For example, an image value in the message image payload 406 may be a pointer to (or address of) a location within an image table 316. Similarly, values within the message video payload 408 may point to data stored within a video table 314, values stored within the message augmentations 412 may point to data stored in an augmentation table 310, values stored within the message story identifier 418 may point to data stored in a story table 312, and values stored within the message sender identifier 422 and the message receiver identifier 424 may point to user records stored within an entity table 308.

FIG. 5 is an interaction diagram illustrating a process 500 for providing augmented reality content relating to user-submitted reviews in association with traveling, in accordance with some example embodiments. For explanatory purposes, the process 500 is primarily described herein with reference to the messaging client 104 of FIG. 1, and the object detection system 212 and the user-submitted review system 214 of FIG. 2. However, one or more blocks (or operations) of the process 500 may be performed by one or more other components, and/or by other suitable devices. Further for explanatory purposes, the blocks (or operations) of the process 500 are described herein as occurring in serial, or linearly. However, multiple blocks (or operations) of the process 500 may occur in parallel or concurrently. In addition, the blocks (or operations) of the process 500 need not be performed in the order shown and/or one or more blocks (or operations) of the process 500 need not be performed and/or can be replaced by other operations. The process 500 may be terminated when its operations are completed. In addition, the process 500 may correspond to a method, a procedure, an algorithm, etc.

The messaging client 104 may be associated with a respective user of the messaging server system 108, and the user may be associated with a user account of the messaging server system 108. As noted above, the user may be identified by the messaging server system 108 based on a unique identifier (e.g., a messaging system identifier, email address and/or a device identifier) associated with the user account for that user. In addition, the messaging server system 108 may implement and/or work in conjunction with the social network server 120 which is configured to identify other users (e.g., friends) with which a particular user has relationships.

As described herein, the messaging client 104 (e.g., in conjunction with the messaging server system 108) receives a user request to perform a scan operation on a captured image (e.g., a live video feed, or a photo/video selected from a photo library). The messaging client 104 determines travel parameters (e.g., travel schedules, transportation schedules, general locations, specific venues or landmarks, activities, participants and/or topics of interest) associated with the request. The messaging client also determines attribute(s) of an object depicted in the captured image. Based on the travel parameter(s) and attribute(s), the messaging client 104 selects a user interface from among multiple candidate user interfaces relating to user-submitted reviews. For example, the selected user interface may correspond with adding, editing or deleting a personal user review regarding a business, product and/or service. In another example, the selected user interface may correspond with displaying a set of existing user-submitted reviews for the business, product and/or service. The messaging client 104 displays an augmented reality content item (e.g., corresponding to an augmented reality experience), which includes the selected user interface, together with the captured image.

At block 502, the messaging client 104 receives user input to perform a scan operation on a captured image. As described herein, performing a scan operation corresponds with identifying objects depicted in the captured image. In one or more embodiments, the messaging client 104 activates the camera of the client device 102 (e.g., upon startup of the messaging client 104). The messaging client 104 allows a user to request to scan one or more items in a camera feed captured by the camera. In one or more embodiments, the messaging client 104 detects physical contact between a finger of the user's hand and a region of the touch screen for a threshold period of time (e.g., corresponding to a press-and-hold gesture). For example, the messaging client 104 determines that the user touched and held their finger on the screen for a threshold time (e.g., two seconds).

In an alternative embodiment, the press-and-hold gesture may be performed in association with a carousel interface (e.g., which is separate from a startup interface, as discussed below with respect to FIGS. 6A-6B). Within the carousel interface, an augmented reality content item, for modifying a captured image to include augmented reality content, may already be selected prior to receiving the user input. With respect to the press-and-hold gesture, the augmented reality content item may in some embodiments include a scan prompt which prompts the user for input to perform the scan operation. For example, the scan prompt may include text (e.g., “press and hold to scan”) prompting the user for the press-and-hold gesture within a graphical boundary defining a predefined screen region.

As an alternative to the press-and-hold gesture, the messaging client 104 may receive user selection of a dedicated scan option (e.g., a scan button) presented together with the camera feed. Thus, in response to a user request to perform a scan operation, the messaging client 104 processes the captured image (e.g., a live video feed) to identify multiple object(s) in the image. It is also possible for the captured image to correspond with an image/video stored in association with the user of the client device 102, for example, within a photo library (e.g., associated with an operating system of the client device 102 and/or associated with a user profile with respect to the messaging system 100).

At block 504, the messaging client 104 determines a travel parameter associated with the user input. As noted above with respect to the travel parameters table 318, the messaging client 104 in conjunction with the messaging system 100 may be configured to access (e.g., based on appropriate user permissions) data relating to travel by the user, and to populate the travel parameters table 318 accordingly. The travel parameters table 318 may store travel parameters corresponding to user-submitted content provided within the messaging client 104 (e.g., content within message threads, and/or in association with travel-planning user interfaces provided by the messaging system 100). In another example, the travel parameters table 318 may store travel parameters corresponding to content from third-party applications (e.g., content from email/text messages, a calendar application, a flight application, a hotel application). In one or more embodiments, the travel parameters indicate one or more of: travel schedule(s), transportation schedule(s), general location(s) (e.g., cities, states, etc.), specific venues or landmarks, activities, participants (e.g., friends) and/or topics of interest.

At operation 506, the messaging client 104 sends, to the object detection system 212, a request to identify objects in the captured image (operation 506). The request may include the image data itself (e.g., if being captured in real time and/or stored locally on the client device 102). Alternatively, the request may reference a remote image (e.g., if stored in association with a user profile with respect to the messaging system 100).

In response to the request, the object detection system 212 determines attribute(s) of object(s) in the captured image (block 508). As noted above, the object detection system 212 may correspond to a subsystem of the messaging system 100, and may be supported on the client side by the messaging client 104 and/or on the server side by the application servers 114. In one or more embodiments, the detection of object(s) within a captured image may be implemented client side, server side and/or a combination of client side and server side.

As further noted above, the object detection system 212 is configured to implement or otherwise access object recognition algorithms (e.g., including machine learning algorithms) configured to scan a captured image, and to detect/track the movement of objects within the image. For example, the object detection system 212 may detect object(s) in the captured image that relate to travel (e.g., a landmark, a piece of art, a product for sale at a particular venue, etc.). In another example, the object detection system 212 may detect an object in the image corresponding to a barcode (e.g., a Universal Product Code (UPC) code, QR code, or the like). In yet another example, the object detection system 212 may be configured to detect text depicted within the image, and to convert the depicted text into machine-encoded text (e.g., using optical character recognition (OCR)). In one or more embodiments, the object detection system 212 is configured to detect and process a combination of object(s), barcode(s) and/or text depicted in a captured image (e.g., relating to travel).

The object detection system 212 is further configured to determine or otherwise access attributes of the identified objects. For example, with respect to objects associated with user travel, the object detection system 212 may determine attributes such as corresponding business names, logos, product names, service names, brand names, model names/numbers, and the like. The object detection system 212 may further determine attribute(s) corresponding to general information, such as business addresses, phone numbers, physical product attributes (e.g., items for sale, food, menus) and/or associated dates. As noted above, the object detection system 212 may determine attribute(s) corresponding to a keyword that has been sponsored by a third party. For example, a third party (e.g., associated with a museum, venue or other business) may sponsor or pay for certain keywords (e.g., types of food) to be ranked higher than others. In response to determining that a given attribute corresponds to a sponsored keyword, the object detection system 212 may provide for a higher ranking of that attribute relative to other attributes.

The object detection system 212 sends, to the messaging client 104, the attribute(s) of the object(s) to the messaging client 104 (operation 510). In doing so, the object detection system 212 may further provide ranking information of the attribute(s). In one or more embodiments, the messaging client 104 determines that the attribute(s) of the object (e.g., business name, product/service name, venue) and environmental factors (e.g., device geolocation and time) correspond with one or more of the travel parameters. For example, such correspondence may be based on matching (e.g., meeting a threshold comparison value with respect to) time periods, locations, topics and/or activities of the object attribute(s)/environmental factors with those of the travel parameters.

At operation 512, the messaging client 104 sends, to the user-submitted review system 214, a request to select a type of user interface (e.g., or to select a set of user interface elements) relating to user-submitted reviews. The request may include the travel parameter(s), attribute(s) and/or environmental factors (e.g., device geolocation, time, and the like). As noted above, the user-submitted review system 214 may correspond to a subsystem of the messaging system 100, and may be supported on the client side by the messaging client 104 and/or on the server side by the application servers 114. In one or more embodiments, selection of a user interface based on attribute(s), travel parameter(s) and/or environmental factors via the user-submitted review system 214 may be implemented client side, server side and/or a combination of client side and server side.

As noted above, the user-submitted review system 214 is configured to query third-party services using the search parameters. For example, the third-party services may correspond to applications (e.g., apps) directed to maintaining and publishing user-submitted reviews of businesses (e.g., and their products/services). The third-party services may facilitate in surfacing user interfaces that relate to user reviews and/or ratings. Alternatively or in addition, the messaging system 100 may itself implement a user-submitted reviews service, where the messaging system 100 manages and stores user-submitted reviews within the database 124. Thus, as an alternative or supplement to querying third-party services (e.g., directed to user-submitted reviews), the user-submitted review system 214 may be configured to query the database 124 to present user interface elements relating to user reviews and/or ratings.

In one or more embodiments, the user-submitted review system 214 (e.g., in conjunction with the third-party services) is configured to select from among different types of user interfaces (e.g., or to select a set of user interface elements) that relate to user-submitted reviews. Example types of such user interfaces include, but are not limited to user interfaces to: add, edit or modify a personal review (e.g., with user-submitted comments and/or photos); add, edit or modify a personal rating (e.g., from 1 to 5 stars); view a set of existing reviews; and/or view a set of existing ratings. The user interfaces may provide for adding, editing, modifying and/or viewing reviews/ratings with respect to a business as a whole, or respective products and/or services offered by a business.

Thus, in response to the request sent in association with operation 512, the user-submitted review system 214 selects a user interface from among the available types of user interfaces (block 514). For example, the user-submitted review system 214 may select a user interface from among preset user interfaces that relate to user-submitted reviews. Alternatively or in addition, the user-submitted review system 214 may generate a customized user interface by selecting a set of user interface elements, each of which relate to user-submitted reviews. The selection of a preset user interface and/or set of user interface elements may be based on the travel parameter(s), the attribute(s) (e.g., with ranking information) and/or the environmental factors.

In one example, the attribute(s) (e.g., color, size, machine-encoded text resulting from OCR) of an object depicted in a captured image may indicate signage of a storefront such as a restaurant. Moreover, the device geolocation may indicate a known location of the restaurant, and the travel parameters may indicate a time shortly after (e.g., within 30 minutes after) a planned restaurant visit. Based on these indications, the user-submitted review system 214 may select a user interface for adding, editing, or deleting a personal rating or review of the restaurant.

In another example, the attribute(s) (e.g., color, size, machine-encoded text resulting from OCR) of an object detected in a captured image may indicate text included in a menu within the restaurant (e.g., user selection of a depicted menu item, such as a “fish taco”). Moreover, the device geolocation may indicate that the device is positioned inside of the restaurant, and the travel parameters may indicate a time during a planned visit to the restaurant. Based on these indications, the user-submitted review system 214 may select a user interface for displaying a set of existing user-submitted reviews for the selected menu item (e.g., fish taco), other depicted menu items, and/or general reviews of the restaurant.

The user-submitted review system 214 may calculate respective relevancy scores for types of user interfaces or interface elements, for example, based on a number or frequency of confirmed matches between search parameters. The relevancy scores may be used for ranking the different types of user interfaces as part of the process of selecting a user interface related to user-submitted reviews. At operation 516, the user-submitted review system 214 sends an indication of the selected user interface (e.g., or interface elements) to the messaging client 104, together with relevancy scores, if applicable.

As noted above with respect to block 502, the user input to perform the scan operation may have been received within a carousel interface, with an augmented reality content item already having been selected. Alternatively, the user input may have been received upon startup of the messaging client 104 (e.g., within a startup interface), in which case an augmented reality content item had not yet been selected.

In a case where an augmented reality content item had not been selected, the augmentation system 208 may provide for selecting an augmented reality content item. In one or more embodiments, the user-submitted review system 214 may correspond to a subsystem of the augmentation system 208. Thus, while the example of FIG. 5 depicts operations 512-516 as occurring between the messaging client 104 and the user-submitted review system 214, it is possible that these operations are performed (at least in part) between the messaging client 104 and the augmentation system 208. For example, the augmentation system 208 may be configured to communicate with and query the above-discussed third-party services relating to user-submitted reviews. Alternatively or in addition, the user-submitted review system 214 may be a system which is separate from the augmentation system 208. For example, the messaging client 104 and/or the augmentation system 208 may communicate with the user-submitted review system 214 in order to select the user interface relating to user-submitted reviews.

In one or more embodiments, the indication of the selected user interface obtained at block 514 and sent at operation 516 may correspond to a data structure which includes values corresponding to user-submitted reviews. The data structure may be usable by a given augmented reality content item to generate augmented reality content which includes the selected user interface. In this manner, the augmented reality content item may correspond to a template with placeholders for the user interface, the interface elements and/or the user interface values.

Alternatively or in addition, the indication of the selected user interface obtained at block 514 and sent at operation 516 may itself correspond to the augmented reality content item, which is selected among plural augmented reality content items stored in the augmentation table 310. In this manner, the augmented reality content item may have the selected user the interface (e.g., and/or interface elements and values) integrated therein.

Following operation 516, the messaging client 104 displays the augmented reality content item, which includes the selected user interface, together with the captured image (block 518). As discussed with respect to FIGS. 6A-6B and 7A-7B below, the augmented reality content item may be configured to modify the captured image with augmented reality content (e.g., overlays, visual effects, and the like) that includes the selected user interface provided or indicated by the user-submitted review system 214. Moreover, the user-submitted review system 214 is configured to continue interaction with the third-party app (e.g., which hosts the user-submitted reviews), for example, via appropriate interfaces (e.g., routines and protocols) that can be called or queried by the user-submitted review system 214 in order to invoke functionality of the third-party service/app. For example, the user-submitted review system 214 may update a set of reviews stored in association with a third-party app, in a case where the user adds, edits or deletes a personal review presented in association with the augmented reality content item.

Thus, the messaging client 104, in conjunction with the messaging server system 108, provides for providing augmented reality content with a captured image. The selection of the augmented reality content and selection of user interface(s) relating to user-submitted reviews is based on attribute(s) of objects detected in the image, as well as travel parameters associated with an account of the user.

FIG. 6A illustrates an example user interface 600a in which a user requests to display augmented reality content relating to user-submitted reviews in association with traveling, in accordance with some example embodiments. The user interface 600a includes a captured image 602, a camera selection button 604, a flash button 606, a scan prompt 608, a carousel interface 612, a selected AR icon 614 and a scan button 616.

In one or more embodiments, a user of the client device 102 provides touch input 610 to the messaging client 104, to perform a scan operation to identify objects in the captured image 602 (e.g., a live video feed from a rear-facing camera). In the example of FIG. 6A, the touch input 610 (e.g., a press-and hold gesture) is received by the messaging client 104 in association with a scan prompt 608 which defines a graphical boundary on the device screen. As noted above, the scan prompt 608 may be provided by an augmented reality content item associated with the selected AR icon 614. However, the touch input may correspond with user selection of a dedicated button (e.g., the scan button 616). In an alternative embodiment, the user may have selected an interface element (e.g., an image selection button) to perform a scan on a photo/video selected from a photo library (e.g., stored locally on the client device 102 or stored remotely in association with a user account of the messaging system 100). As shown in FIG. 6A, the captured image 602 depicts the signage of a restaurant.

In one or more embodiments, during the scan operation, the messaging client 104 is configured to display a scanning graphic (not shown) to indicate that the messaging client 104 is performing the scan operation. For example, the scanning graphic corresponds to an animation that is displayed for the duration of the scan (e.g., a predetermined duration of 2 seconds).

In response to receiving the touch input, the messaging client 104 (e.g., in conjunction with the object detection system 212) is configured to detect objects in the captured image 602, as well as attribute(s) of the detected objects. For example, the object detection system 212 detects attribute(s) associated with the signage (e.g., color, size, machine-encoded text of the restaurant name based on OCR).

In addition, the messaging client 104 determines travel parameters associated with the touch input (e.g., one or more of a travel schedule, a transportation schedule, a general location, a specific venue or landmark, an activity, a list of participants, or a topic of interest). In one or more embodiments, the messaging client 104 determines that the attribute(s) of the signage (e.g., name of restaurant) correspond with one or more of the travel parameters (e.g., corresponding to a restaurant reservation). In response, the messaging client 104 (in conjunction with the user-submitted review system 214 and/or the augmentation system 208) is configured to select a user interface, from among multiple available user interfaces related to user-submitted reviews, for presenting in association with an augmented reality content item, as discussed below with respect to FIG. 6B.

In one or more embodiments, the user interface 600a includes the camera selection button 604 for switching between the rear-facing and front-facing camera of the client device 102. In addition, the user interface 600a includes the flash button 606 for activating or deactivating a flash with respect to the captured image 602.

In one or more embodiments, the user interface 600a includes the carousel interface 612 which allows the user to cycle through and/or select different augmented reality content items to apply/display with respect to the captured image 602. Each of the available augmented reality content items is represented by an icon which is user-selectable for switching to the respective augmented reality content item. In one or more embodiments, the icon corresponding to an active augmented reality content item (e.g., a selected AR icon 614) is displayed in a different manner relative to (e.g., larger than) the remaining icons. In response to user selection of the selected AR icon 614, the messaging client 104 provides for generating a media content item which includes an image (e.g., in response to a press/tap gesture of the selected AR icon 614) and/or a video (e.g., in response to a press-and-hold gesture of the selected AR icon 614) of the screen content, for example, to send to friends, include in a Story, and the like.

FIG. 6B illustrates an example user interface 600b for displaying augmented reality content relating to user-submitted reviews in association with traveling, in accordance with some example embodiments. The user interface 600b depicts the captured image 602, the carousel interface 612, the selected AR icon 614 and the scan button 616 of FIG. 6A.

Moreover, the user interface 600b includes a supplemental content card 618 and a user rating interface 620. In one or more implementations, the supplemental content card 618 and the user rating interface 620 may be presented in association with augmented reality content provided via selection of the selected AR icon 614.

In the example of FIG. 6B, the user interface 600b provides for adding a personal rating/review for a restaurant in association with a third-party service (e.g., a third-party app). For example, the third-party app may provide for maintaining and publishing user-submitted reviews of businesses.

As noted above with respect to FIG. 6A, the user-submitted review system 214 may have selected the user interface 600b from among available user interfaces/interface elements relating to user-submitted reviews. For example, the user-submitted review system 214 may have selected the interface elements 618-620 based on the signage of the storefront depicted in the captured image 602, the device geolocation and/or travel parameters indicating a time shortly after a planned restaurant visit.

In one or more embodiments, the supplemental content card 618 is presented as an overlay with interface elements (e.g., name of the restaurant, rating summary as provided by the third-party service) associated with the depicted restaurant. The supplemental content card 618 further includes a user-selectable link for redirecting to a menu page associated with the third-party app. While the supplemental content card 618 depicts a link for redirecting to the menu page, it is possible for the link to instead redirect to another page associated with the third-party app (e.g., a reservation page, an expanded ratings page with reviews, and the like).

In one or more embodiments, the user rating interface 620 is presented as an overlay with user-selectable interface elements for adding a personal rating for the business. The user-submitted review system 214 is configured to interact with the third-party app (e.g., via corresponding application interfaces), to update a set of reviews for the restaurant to include the added personal review.

FIG. 7A illustrates an example user interface 700a in which a user requests to display augmented reality content relating to user-submitted reviews in association with traveling, in accordance with some example embodiments. The user interface 600a includes a captured image 702, a carousel interface 706, a selected AR icon 708 and a scan button 710.

In one or more embodiments, the user interface 700a may be presented upon startup (e.g., as a startup interface) of the messaging client 104. A user of the client device 102 may provide touch input 704 to the messaging client 104, to perform a scan operation to identify objects in the captured image 702 (e.g., a live video feed from a rear-facing camera). For example, the touch input 704 corresponds to a press-and-hold gesture (e.g., of at least one second) received within a predefined region of the device screen. Moreover, the touch input may correspond to user selection of a particular object. As shown in FIG. 7A, captured image 602 depicts a restaurant menu, and the touch input 704 corresponds to user selection of a particular menu item (e.g., fish taco).

In one or more embodiments, during the scan operation, the messaging client 104 is configured to display a scanning graphic (not shown) to indicate that the messaging client 104 is performing the scan operation. For example, the scanning graphic corresponds to an animation that is displayed for the duration of the scan (e.g., a predetermined duration of 2 seconds).

In response to receiving the touch input, the messaging client 104 (e.g., in conjunction with the object detection system 212) is configured to detect objects in the captured image 602, as well as attribute(s) of the detected objects. For example, the object detection system 212 detects attribute(s) associated with the menu (e.g., physical features of the menu, and/or machine-encoded text resulting from OCR of the menu such as restaurant name, menu items, and the user-selected “fish taco” menu item).

In addition, the messaging client 104 determines travel parameters associated with the touch input (e.g., one or more of a travel schedule, a transportation schedule, a general location, a specific venue or landmark, an activity, a list of participants, or a topic of interest). In one or more embodiments, the messaging client 104 determines that the attribute(s) of the menu correspond with one or more of the travel parameters. In response, the messaging client 104 (in conjunction with the user-submitted review system 214 and/or the augmentation system 208) is configured to select a user interface and/or particular user interface elements related to user-submitted reviews, for presenting in association with an augmented reality content item, as discussed below with respect to FIG. 7B.

Similar to the carousel interface 612 of FIG. 6A, the carousel interface 706 of FIG. 7B allows the user to cycle through and/or select different augmented reality content items to apply/display with respect to the captured image 702. In addition, the icon corresponding to an active augmented reality content item (e.g., a selected AR icon 708) is user-selectable to generate a media content item which includes an image (e.g., in response to a press/tap gesture) and/or a video (e.g., in response to a press-and-hold gesture).

FIG. 7B illustrates an example user interface 700b for displaying augmented reality content relating to user-submitted reviews in association with traveling, in accordance with some example embodiments. The user interface 700b depicts the captured image 702 of FIG. 7A.

Moreover, the user interface 600b includes user reviews 712. In one or more implementations, the user reviews 712 may be presented in association with augmented reality content provided via selection of the selected AR icon 708.

In the example of FIG. 7B, the user interface 700b provides for displaying a set of user-submitted reviews provided by a third-party service (e.g., a third-party app). For example, the third-party service may provide for maintaining and publishing user-submitted reviews of businesses.

As noted above with respect to FIG. 7A, the user-submitted review system 214 may have selected the user interface 700b from among available user interfaces relating to user-submitted reviews. For example, the user-submitted review system 214 may have selected the interface element of the user reviews 712 based on the menu depicted in the captured image 702, the user selection of the menu item “fish taco,” the device geolocation and/or travel parameters indicating a time during a planned restaurant visit.

In one or more embodiments, the user reviews 712 are presented as an overlay with each user-submitted review being represented by a respective supplemental content card. In one or more implementations, each review corresponds to a user-selectable link. User selection of a review may redirect to a corresponding review page associated with the third-party app.

FIG. 8 is a flowchart illustrating a process 800 for providing augmented reality content relating to user-submitted reviews in association with traveling, in accordance with some example embodiments. For explanatory purposes, the process 800 is primarily described herein with reference to the messaging client 104 of FIG. 1, and the object detection system 212 and the user-submitted review system 214 of FIG. 2. However, one or more blocks (or operations) of the process 800 may be performed by one or more other components, and/or by other suitable devices. Further for explanatory purposes, the blocks (or operations) of the process 800 are described herein as occurring in serial, or linearly. However, multiple blocks (or operations) of the process 800 may occur in parallel or concurrently. In addition, the blocks (or operations) of the process 800 need not be performed in the order shown and/or one or more blocks (or operations) of the process 800 need not be performed and/or can be replaced by other operations. The process 800 may be terminated when its operations are completed. In addition, the process 800 may correspond to a method, a procedure, an algorithm, etc.

The messaging client 104 receives a request to scan an image captured by a device camera (block 802). The image may correspond to a live feed of a camera of the device. Alternatively or in addition, the image may correspond to a saved image included in a photo library associated with the user.

The request may correspond to user selection of an interface element for performing the scan. Alternatively or in addition, the request may correspond to a press-and-hold gesture performed within a predefined portion of a screen of the device.

The messaging client 104 determines a travel parameter associated with the request and an attribute of an object depicted in the image (block 804). The attribute may be determined in conjunction with the object detection system 212. The travel parameter may indicate at least one of a travel schedule, a transportation schedule, a general location, a specific venue or landmark, an activity, a list of participants, or a topic of interest associated with travel by the user.

The messaging client 104 (e.g., in conjunction with the user-submitted review system 214 and/or the augmentation system 208) selects, from among plural candidate user interfaces relating to user-submitted reviews, a user interface that corresponds to the travel parameter and the attribute (block 806). Selecting the user interface may further be based on a geolocation of the device.

The selected user interface may correspond to displaying a set of user-submitted reviews relating to the object. Alternatively or in addition, the selected user interface may correspond to updating a personal review relating to the object, the personal review being included in a set of user-submitted reviews relating to the object.

The messaging client 104 displays an augmented reality content item, which includes the selected user interface, with the image (block 808). The messaging client 104 may select, from among plural augmented reality content items, the augmented reality content item based on the attribute and the travel parameter, and activate the selected augmented reality content item prior to the displaying. Alternatively or in addition, the augmented reality content item may be selected prior to receiving the request.

FIG. 9 is a schematic diagram illustrating an access-limiting process 900, in terms of which access to content (e.g., an ephemeral message 910, and associated multimedia payload of data) or a content collection (e.g., an ephemeral message group 906) may be time-limited (e.g., made ephemeral).

An ephemeral message 910 is shown to be associated with a message duration parameter 914, the value of which determines an amount of time that the ephemeral message 910 will be displayed to a receiving user of the ephemeral message 910 by the messaging client 104. In one example, an ephemeral message 910 is viewable by a receiving user for up to a maximum of 10 seconds, depending on the amount of time that the sending user specifies using the message duration parameter 914.

The message duration parameter 914 and the message receiver identifier 424 are shown to be inputs to a message timer 912, which is responsible for determining the amount of time that the ephemeral message 910 is shown to a particular receiving user identified by the message receiver identifier 424. In particular, the ephemeral message 910 will only be shown to the relevant receiving user for a time period determined by the value of the message duration parameter 914. The message timer 912 is shown to provide output to a more generalized ephemeral timer system 202, which is responsible for the overall timing of display of content (e.g., an ephemeral message 910) to a receiving user.

The ephemeral message 910 is shown in FIG. 9 to be included within an ephemeral message group 906 (e.g., a collection of messages in a personal Story, or an event Story). The ephemeral message group 906 has an associated group duration parameter 904, a value of which determines a time duration for which the ephemeral message group 906 is presented and accessible to users of the messaging system 100. The group duration parameter 904, for example, may be the duration of a music concert, where the ephemeral message group 906 is a collection of content pertaining to that concert. Alternatively, a user (either the owning user or a curator user) may specify the value for the group duration parameter 904 when performing the setup and creation of the ephemeral message group 906.

Additionally, each ephemeral message 910 within the ephemeral message group 906 has an associated group participation parameter 902, a value of which determines the duration of time for which the ephemeral message 910 will be accessible within the context of the ephemeral message group 906. Accordingly, a particular ephemeral message group 906 may “expire” and become inaccessible within the context of the ephemeral message group 906, prior to the ephemeral message group 906 itself expiring in terms of the group duration parameter 904. The group duration parameter 904, group participation parameter 902, and message receiver identifier 424 each provide input to a group timer 908, which operationally determines, firstly, whether a particular ephemeral message 910 of the ephemeral message group 906 will be displayed to a particular receiving user and, if so, for how long. Note that the ephemeral message group 906 is also aware of the identity of the particular receiving user as a result of the message receiver identifier 424.

Accordingly, the group timer 908 operationally controls the overall lifespan of an associated ephemeral message group 906, as well as an individual ephemeral message 910 included in the ephemeral message group 906. In one example, each and every ephemeral message 910 within the ephemeral message group 906 remains viewable and accessible for a time period specified by the group duration parameter 904. In a further example, a certain ephemeral message 910 may expire, within the context of ephemeral message group 906, based on a group participation parameter 902. Note that a message duration parameter 914 may still determine the duration of time for which a particular ephemeral message 910 is displayed to a receiving user, even within the context of the ephemeral message group 906. Accordingly, the message duration parameter 914 determines the duration of time that a particular ephemeral message 910 is displayed to a receiving user, regardless of whether the receiving user is viewing that ephemeral message 910 inside or outside the context of an ephemeral message group 906.

The ephemeral timer system 202 may furthermore operationally remove a particular ephemeral message 910 from the ephemeral message group 906 based on a determination that it has exceeded an associated group participation parameter 902. For example, when a sending user has established a group participation parameter 902 of 24 hours from posting, the ephemeral timer system 202 will remove the relevant ephemeral message 910 from the ephemeral message group 906 after the specified 24 hours. The ephemeral timer system 202 also operates to remove an ephemeral message group 906 when either the group participation parameter 902 for each and every ephemeral message 910 within the ephemeral message group 906 has expired, or when the ephemeral message group 906 itself has expired in terms of the group duration parameter 904.

In certain use cases, a creator of a particular ephemeral message group 906 may specify an indefinite group duration parameter 904. In this case, the expiration of the group participation parameter 902 for the last remaining ephemeral message 910 within the ephemeral message group 906 will determine when the ephemeral message group 906 itself expires. In this case, a new ephemeral message 910, added to the ephemeral message group 906, with a new group participation parameter 902, effectively extends the life of an ephemeral message group 906 to equal the value of the group participation parameter 902.

Responsive to the ephemeral timer system 202 determining that an ephemeral message group 906 has expired (e.g., is no longer accessible), the ephemeral timer system 202 communicates with the messaging system 100 (and, for example, specifically the messaging client 104) to cause an indicium (e.g., an icon) associated with the relevant ephemeral message group 906 to no longer be displayed within a user interface of the messaging client 104. Similarly, when the ephemeral timer system 202 determines that the message duration parameter 914 for a particular ephemeral message 910 has expired, the ephemeral timer system 202 causes the messaging client 104 to no longer display an indicium (e.g., an icon or textual identification) associated with the ephemeral message 910.

FIG. 10 is a diagrammatic representation of the machine 1000 within which instructions 1006 (e.g., software, a program, an application, an applet, an app, or other executable code) for causing the machine 1000 to perform any one or more of the methodologies discussed herein may be executed. For example, the instructions 1006 may cause the machine 1000 to execute any one or more of the methods described herein. The instructions 1006 transform the general, non-programmed machine 1000 into a particular machine 1000 programmed to carry out the described and illustrated functions in the manner described. The machine 1000 may operate as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine 1000 may operate in the capacity of a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine 1000 may comprise, but not be limited to, a server computer, a client computer, a personal computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (STB), a personal digital assistant (PDA), an entertainment media system, a cellular telephone, a smartphone, a mobile device, a wearable device (e.g., a smartwatch), a smart home device (e.g., a smart appliance), other smart devices, a web appliance, a network router, a network switch, a network bridge, or any machine capable of executing the instructions 1006, sequentially or otherwise, that specify actions to be taken by the machine 1000. Further, while only a single machine 1000 is illustrated, the term “machine” shall also be taken to include a collection of machines that individually or jointly execute the instructions 1006 to perform any one or more of the methodologies discussed herein. The machine 1000, for example, may comprise the client device 102 or any one of a number of server devices forming part of the messaging server system 108. In some examples, the machine 1000 may also comprise both client and server systems, with certain operations of a particular method or algorithm being performed on the server-side and with certain operations of the particular method or algorithm being performed on the client-side.

The machine 1000 may include processors 1002, memory 1010, and input/output I/O components 1022, which may be configured to communicate with each other via a bus 1020. In an example, the processors 1002 (e.g., a Central Processing Unit (CPU), a Reduced Instruction Set Computing (RISC) Processor, a Complex Instruction Set Computing (CISC) Processor, a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (RFIC), another processor, or any suitable combination thereof) may include, for example, a processor 1004 and a processor 1008 that execute the instructions 1006. The term “processor” is intended to include multi-core processors that may comprise two or more independent processors (sometimes referred to as “cores”) that may execute instructions contemporaneously. Although FIG. 10 shows multiple processors 1002, the machine 1000 may include a single processor with a single-core, a single processor with multiple cores (e.g., a multi-core processor), multiple processors with a single core, multiple processors with multiples cores, or any combination thereof.

The memory 1010 includes a main memory 1012, a static memory 1014, and a storage unit 1016, both accessible to the processors 1002 via the bus 1020. The main memory 1010, the static memory 1014, and storage unit 1016 store the instructions 1006 embodying any one or more of the methodologies or functions described herein. The instructions 1006 may also reside, completely or partially, within the main memory 1012, within the static memory 1014, within machine-readable medium 1018 within the storage unit 1016, within at least one of the processors 1002 (e.g., within the Processor's cache memory), or any suitable combination thereof, during execution thereof by the machine 1000.

The I/O components 1022 may include a wide variety of components to receive input, provide output, produce output, transmit information, exchange information, capture measurements, and so on. The specific I/O components 1022 that are included in a particular machine will depend on the type of machine. For example, portable machines such as mobile phones may include a touch input device or other such input mechanisms, while a headless server machine will likely not include such a touch input device. It will be appreciated that the I/O components 1022 may include many other components that are not shown in FIG. 10. In various examples, the I/O components 1022 may include user output components 1024 and user input components 1026. The user output components 1024 may include visual components (e.g., a display such as a plasma display panel (PDP), a light-emitting diode (LED) display, a liquid crystal display (LCD), a projector, or a cathode ray tube (CRT)), acoustic components (e.g., speakers), haptic components (e.g., a vibratory motor, resistance mechanisms), other signal generators, and so forth. The user input components 1026 may include alphanumeric input components (e.g., a keyboard, a touch screen configured to receive alphanumeric input, a photo-optical keyboard, or other alphanumeric input components), point-based input components (e.g., a mouse, a touchpad, a trackball, a joystick, a motion sensor, or another pointing instrument), tactile input components (e.g., a physical button, a touch screen that provides location and force of touches or touch gestures, or other tactile input components), audio input components (e.g., a microphone), and the like.

In further examples, the I/O components 1022 may include biometric components 1028, motion components 1030, environmental components 1032, or position components 1034, among a wide array of other components. For example, the biometric components 1028 include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye-tracking), measure biosignals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identify a person (e.g., voice identification, retinal identification, facial identification, fingerprint identification, or electroencephalogram-based identification), and the like. The motion components 1030 include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope).

The environmental components 1032 include, for example, one or cameras (with still image/photograph and video capabilities), illumination sensor components (e.g., photometer), temperature sensor components (e.g., one or more thermometers that detect ambient temperature), humidity sensor components, pressure sensor components (e.g., barometer), acoustic sensor components (e.g., one or more microphones that detect background noise), proximity sensor components (e.g., infrared sensors that detect nearby objects), gas sensors (e.g., gas detection sensors to detection concentrations of hazardous gases for safety or to measure pollutants in the atmosphere), or other components that may provide indications, measurements, or signals corresponding to a surrounding physical environment.

With respect to cameras, the client device 102 may have a camera system comprising, for example, front cameras on a front surface of the client device 102 and rear cameras on a rear surface of the client device 102. The front cameras may, for example, be used to capture still images and video of a user of the client device 102 (e.g., “selfies”), which may then be augmented with augmentation data (e.g., filters) described above. The rear cameras may, for example, be used to capture still images and videos in a more traditional camera mode, with these images similarly being augmented with augmentation data. In addition to front and rear cameras, the client device 102 may also include a 360° camera for capturing 360° photographs and videos.

Further, the camera system of a client device 102 may include dual rear cameras (e.g., a primary camera as well as a depth-sensing camera), or even triple, quad or penta rear camera configurations on the front and rear sides of the client device 102. These multiple cameras systems may include a wide camera, an ultra-wide camera, a telephoto camera, a macro camera and a depth sensor, for example.

The position components 1034 include location sensor components (e.g., a GPS receiver component), altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude may be derived), orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies. The I/O components 1022 further include communication components 1036 operable to couple the machine 1000 to a network 1040 or devices 1038 via respective coupling or connections. For example, the communication components 1036 may include a network interface Component or another suitable device to interface with the network 1040. In further examples, the communication components 1036 may include wired communication components, wireless communication components, cellular communication components, Near Field Communication (NFC) components, Bluetooth® components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and other communication components to provide communication via other modalities. The devices 1038 may be another machine or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a USB).

Moreover, the communication components 1036 may detect identifiers or include components operable to detect identifiers. For example, the communication components 1036 may include Radio Frequency Identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., an optical sensor to detect one-dimensional bar codes such as Universal Product Code (UPC) bar code, multi-dimensional bar codes such as Quick Response (QR) code, Aztec code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2D bar code, and other optical codes), or acoustic detection components (e.g., microphones to identify tagged audio signals). In addition, a variety of information may be derived via the communication components 1036, such as location via Internet Protocol (IP) geolocation, location via Wi-Fi® signal triangulation, location via detecting an NFC beacon signal that may indicate a particular location, and so forth.

The various memories (e.g., main memory 1012, static memory 1014, and memory of the processors 1002) and storage unit 1016 may store one or more sets of instructions and data structures (e.g., software) embodying or used by any one or more of the methodologies or functions described herein. These instructions (e.g., the instructions 1006), when executed by processors 1002, cause various operations to implement the disclosed examples.

The instructions 1006 may be transmitted or received over the network 1040, using a transmission medium, via a network interface device (e.g., a network interface component included in the communication components 1036) and using any one of several well-known transfer protocols (e.g., hypertext transfer protocol (HTTP)). Similarly, the instructions 1006 may be transmitted or received using a transmission medium via a coupling (e.g., a peer-to-peer coupling) to the devices 1038.

FIG. 11 is a block diagram 1100 illustrating a software architecture 1102, which can be installed on any one or more of the devices described herein. The software architecture 1102 is supported by hardware such as a machine 1108 that includes processors 1148, memory 1150, and I/O components 1152. In this example, the software architecture 1102 can be conceptualized as a stack of layers, where each layer provides a particular functionality. The software architecture 1102 includes layers such as an operating system