CN116193175A

CN116193175A - Computer-implemented method and storage medium

Info

Publication number: CN116193175A
Application number: CN202310329426.0A
Authority: CN
Inventors: 文森特·查尔斯·张
Original assignee: Meta Platforms Inc
Current assignee: Meta Platforms Inc
Priority date: 2017-09-05
Filing date: 2018-09-05
Publication date: 2023-05-30
Also published as: JP2023098930A; CN111316656A; CN116208791A; JP7258857B2; EP3679722A4; WO2019050938A1; KR20200039814A; JP2020532903A; JP2023098931A; EP3679722A1; CN111316656B

Abstract

The present application relates to a computer-implemented method and storage medium. The various client devices include a display apparatus and one or more image capture devices configured to capture video data. Different users of the online system may authorize the client devices to exchange information captured by their respective image capture devices. Further, the client device modifies the captured video data based on the user identified in the video data. For example, the client device changes parameters of the image capture device to more prominently display the user identified in the video data, and may also change parameters of the image capture device based on gestures or movements of the user identified in the video data. The client device may apply multiple models to the captured video data to modify the captured video data or the subsequent capture of the video data by the image capture device.

Description

Computer-implemented method and storage medium

The present application is a divisional application of application number 2018800717665 entitled "a computer-implemented method and storage medium (original name" modifying the capture of video data by an image capturing device based on video data previously captured by the image capturing device ")", with application number 2018, 9, 5.

Background

The present disclosure relates generally to capturing video data, and more particularly, to modifying the capture of video data based on previously captured video data.

More and more client devices, online systems, and networks allow users to exchange more content with each other. For example, an online system allows its users to exchange video data captured by different users via client devices associated with the users. In particular examples, the online system may establish video messaging (messaging) between the user and another user, allowing the users to exchange video data captured by their respective client devices in real-time or near real-time.

However, when providing video data, conventional client devices require a user to manually configure video capture. For example, a user of a client device provides input to the client device to identify (identify) a focus of an image capture device of the client device, specify a magnification of the image capture device of the client device, or other parameters of the image capture device of the client device. In addition to providing initial input of parameters identifying the image capture device of the client device, conventional client devices require the user to manually reposition the image capture device of the client device to a different portion of the local area within the field of view of the image capture device of the client device. Thus, the user manually selects and maintains content captured by the image capturing device of the client device, which is transmitted to another client device. While this reliance on user-provided input provides the user with significant control over the video data captured by the client device, conventional client devices do not allow the user to easily perform other tasks in the video messaging session while capturing video data via the client device because conventional client devices cannot adjust video data capture as conditions change without receiving one or more user-provided inputs.

SUMMARY

Various client devices associated with users of the online system include one or more image capture devices. An image capturing device included in the client device is configured to capture video data of a local area around the client device, for example, during a video call or when a user turns on the video capturing function. In addition, the client device includes a controller coupled to the one or more image capture devices. The controller applies one or more models to video data captured by the image capture device and modifies the video data captured by the image capture device and/or parameters of the image capture device based on the application of the one or more models. This allows the controller to modify the captured video data based on the characteristics or content of the video data previously captured by the image capture device.

In various embodiments, the controller maintains and enforces one or more privacy settings for users and other persons captured in video data or other data. For example, the controller may have a default privacy setting that prevents the controller from identifying the user until the user manually changes the privacy setting to allow the controller to identify the user. The default privacy settings may also be extended to any captured video data, audio data, image data, or other data so that a user may select whether to allow the image capture device to identify any user in the data. In addition, the privacy settings also manage the transfer of information from the client device to another entity (e.g., another client device or a third party system). Various privacy settings allow a user to control the identification of the user and the storage and sharing of any user-related data. Privacy settings may also be implemented separately for each person. For example, a user selecting the join (opt in) user identification function does not change the default privacy settings of other users that may be accidentally captured in a local area around the client device.

In various embodiments, the controller applies one or more machine learning models to video data captured by the image capture device to locate a user included in the captured video data based on privacy selections of the user that enable the client device to identify the user. The model applied by the controller to the captured video data may perform (two-dimensional or three-dimensional) face tracking, two-dimensional pose tracking, three-dimensional pose tracking, or any other suitable method to identify portions of a person's face or portions of a person's body. In various embodiments, the controller modifies the captured video data or parameters of the image capture device to more prominently present the located user. For example, the controller clips the captured video data to remove portions of the video data that do not include at least one person. As another example, the controller modifies the focus of the image capturing device to the face of the person and increases the magnification (i.e., zoom) of the image capturing device. In various embodiments, the user has the option of preventing any recordings (video, voice, etc.) from being stored locally at the client device and/or on the cloud, and also has the option of deleting any recordings if they are saved.

In various embodiments, when user identification is enabled, one or more models applied by the controller apply one or more rules to modify video data captured by an image capture device of the client device. For example, if the controller also determines that the face of a person located within the video data is facing the camera, the controller modifies the captured video data to more prominently display the person. In another example, the controller determines a distance between a person identified from the video data and the image capture device and modifies the captured video data such that the video data presents the person having the smallest determined distance from the image capture device at least one set of threshold dimensions (e.g., at least a threshold height and a threshold width, or at least a threshold percentage of a field of view using the image capture device), or displays the person having the determined distance from the image capture device less than the threshold distance at least the set of threshold dimensions.

The controller may receive data from other components of the client device and modify the captured video data based on characteristics of the received video data and the data from the other components of the client device. For example, the image capture device or client device includes an audio capture device (e.g., a microphone) configured to capture audio data from a local area surrounding the client device. The controller may process the captured audio data along with the captured video data when modifying the captured video data according to the privacy settings selected by the user. In various embodiments, the controller applies one or more models to the captured audio data to determine locations within the captured video data that include audio data sources. The controller applies one or more models to locations within the captured video data that include sources of audio data. The controller modifies the captured video data to more prominently present the location within the captured video data that includes the audio data source or repositions the image capture device to focus on the audio data source (e.g., increases the field of view of the image capture device occupied by the audio data source, changes the location of the audio data source within the field of view of the image capture device) in response to the application of the model determining that the location within the captured video data that includes the audio data source includes a person. However, in response to determining that the location within the captured video data that includes the audio data source does not include a person, the controller does not modify the captured video data or reposition the image capture device. As another example, the controller modifies the captured video data or repositions the image capture device to more prominently present persons identified within the captured video data that the controller determines to be sources of the captured audio data (e.g., increasing the field of view of the image capture device occupied by the audio data source, changing the position of the audio data source within the field of view of the image capture device), which allows the captured video data to more prominently display users determined to be speaking or otherwise providing audio data captured by the audio capture device of the client device.

In a video messaging session or in other situations where the user has turned on the video capture and user identification functions, the controller may apply one or more models to video data captured after receiving information identifying the user of interest to modify one or more parameters of the image capture device to follow the user of interest around the local area. For example, the controller applies one or more facial recognition models to the person located in the captured video data to identify the face of the person matching the face of the user of interest (received from the online system or identified from previously captured video data based on information from the online system), and then relocates the focus of the image capture device to the person having the face matching the face of the user of interest. Alternatively, the controller extracts a chromaticity diagram (color map) from the captured video data including the user of interest, and repositions the focus of the image capturing apparatus so that the extracted chromaticity diagram remains included in the video data captured by the image capturing apparatus.

Embodiments according to the invention are specifically disclosed in the appended claims directed to methods and computer program products, wherein any features mentioned in one claim category (e.g. methods) may also be claimed in another claim category (e.g. computer program products, systems, storage media). The dependencies or return references in the appended claims are chosen for formal reasons only. However, any subject matter resulting from an intentional back-reference (particularly multiple references) to any preceding claim may also be claimed, such that any combination of claims and their features is disclosed and may be claimed, irrespective of the dependencies selected in the appended claims. The subject matter which may be claimed includes not only the combination of features as set forth in the appended claims, but also any other combination of features in the claims, wherein each feature mentioned in the claims may be combined with any other feature or combination of features in the claims. Furthermore, any of the embodiments and features described or depicted herein may be claimed in separate claims and/or in any combination with any of the embodiments or features described or depicted herein or in any combination with any of the features of the appended claims.

Brief Description of Drawings

FIG. 1 is a block diagram of a system environment in which an online system operates according to an embodiment.

Fig. 2 is a block diagram of a client device according to an embodiment.

FIG. 3 is a block diagram of an online system according to an embodiment.

Fig. 4 is a flow chart of a method for selecting segments of video data to present to a user of interest of an online system based on a likelihood that the user's gaze of interest is directed to different locations within the video data, according to an embodiment.

The figures depict various embodiments for purposes of illustration only. Those skilled in the art will readily recognize from the following discussion that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles described herein.

Detailed Description

System architecture

Fig. 1 is a block diagram of a system environment 100 for an online system 140. The system environment 100 shown in fig. 1 includes one or more client devices 110, a network 120, one or more third party systems 130, and an online system 140. In addition, in the system environment 100 shown in FIG. 1, a controller 117 is coupled to the client device 110. In alternative configurations, different and/or additional components may be included in system environment 100. For example, the online system 140 is a social networking system, a content sharing network, or another system that provides content to users.

Client device 110 is one or more computing devices capable of receiving user input and transmitting and/or receiving data via network 120. In one embodiment, client device 110 is a conventional computer system, such as a desktop computer or a laptop computer. Alternatively, client device 110 may be a computer-enabled device such as a Personal Digital Assistant (PDA), mobile phone, smart phone, or other suitable device. Client device 110 is configured to communicate via network 120. In one embodiment, client device 110 executes an application that allows a user of client device 110 to interact with online system 140. For example, client device 110 executes a browser application to enable interaction between client device 110 and online system 140 via network 120. In another embodiment, client device 110 is configured via a native (native) operating system (e.g.

Or ANDROID ^TM ) An Application Programming Interface (API) thereon to interact with the online system 140. As described further below in connection with fig. 2, client device 110 includes a display device 115 configured to present content and one or more image capture devices configured to capture images or video data of a local area surrounding client device 110.

Client device 110 is configured to communicate via network 120 using a wired and/or wireless communication system, network 120 may include any combination of local area and/or wide area networks. In one embodiment, network 120 uses standard communication techniques and/or protocols. For example, network 120 includes communication links using technologies such as Ethernet, 802.11, worldwide Interoperability for Microwave Access (WiMAX), 3G, 4G, code Division Multiple Access (CDMA), digital Subscriber Line (DSL), and the like. Examples of network protocols for communicating via network 120 include multiprotocol label switching (MPLS), transmission control protocol/internet protocol (TCP/IP), hypertext transfer protocol (HTTP), simple Mail Transfer Protocol (SMTP), and File Transfer Protocol (FTP). Any suitable format, such as hypertext markup language (HTML) or extensible markup language (XML), may be used to represent data exchanged over network 120. In some embodiments, any suitable technique or techniques may be used to encrypt all or some of the communication links of network 120.

One or more third party systems 130 may be coupled to the network 120 to communicate with the online system 140, as will be further described below in connection with fig. 3. In one embodiment, the third party system 130 is an application provider that communicates information describing applications for execution by the client device 110 or communicates data to the client device 110 for use by applications executing on the client device. In other embodiments, the third party system 130 provides content or other information for presentation via the client device 110. The third party system 130 may also communicate information to the online system 140, such as advertisements, content, or information about applications provided by the third party system 130.

Fig. 2 is a block diagram of an embodiment of client device 110. In the embodiment shown in fig. 2, client device 110 includes a display device 115 and an image capture device 117, and a controller 210. However, in other embodiments, client device 110 includes different components or additional components than those shown in fig. 2.

The display device 115 may be integrated into the client device 110 or coupled to the client device 110. For example, the display device 115 integrated into the client device 110 is a display screen included in the client device 110. Alternatively, display device 115 is a monitor or other display apparatus coupled to client device 110. The display device 115 presents image data or video data to a user. The image or video data presented by the display device 115 is determined by the application executing on the client device 110. Different applications may be included on client device 110 such that execution of the different applications changes the content presented to the user by display device 115.

The image capture device 117 captures video data or images of local areas around the client device 110 and within the field of view of the image capture device 117. In some embodiments, the image capture device 117 includes one or more cameras, one or more video cameras, or any other device capable of capturing image data or video data. In addition, the image capture device 117 may include one or more filters (e.g., to increase signal-to-noise ratio). Various parameters (e.g., focal length, focus, frame rate, ISO, sensor temperature, shutter speed, aperture, focus, etc.) configure the image capture device 117 to capture video data or image data. Thus, modifying one or more parameters of image capture device 117 modifies video data or image data captured by image capture device 117 after modification of the one or more parameters. Although fig. 2 shows a single image capture device 117 included in client device 110, in other embodiments client device 110 includes any suitable number of image capture devices 117. In various embodiments, the user has the option of preventing any recordings (video, voice, etc.) from being stored locally at the client device and/or on the cloud, and also has the option of deleting any recordings if they are saved.

The controller 210 is coupled to the image capture device 117 and includes a storage device coupled to a processor. In various embodiments, the controller 210 is also coupled to the display device 115. The controller 210 includes instructions that when executed by the processor apply one or more models to video data captured by the image capture device 117. In various embodiments, one or more models are applied to video data, audio data, image data, or any combination of data captured by image capture device 117 or any other device included in client device 110 or coupled to client device 110. As described further below in connection with fig. 4, the model applied to the captured video data by the controller 210 applies one or more rules to the characteristics of the captured video data to identify objects, people, movements, or any other suitable content in the captured video data. Based on the application of the model and in accordance with one or more privacy settings, the controller 210 modifies the captured video data or modifies one or more parameters of the image capture device 117 such that subsequently captured video data is modified. For example, the user may authorize the controller 210 to apply a model that locates the user in the captured video data based on characteristics of the captured video data and modify the captured video data to more significantly include the located user or modify one or more parameters of the image capture device 117 (e.g., focus, magnification, or zoom, crop of the captured video data) such that the additional video data more significantly includes the located user. The additional video data more prominently includes the located person by presenting the located person in at least one set of threshold dimensions (e.g., at least a threshold height or a threshold width), presenting the located person in at least a threshold amount of fields of view of the image capture device 117 or in at least a threshold amount of frames of captured video data, or presenting the located person at one or more particular locations within the captured video data. However, the model applied by the controller 210 may identify any suitable component of the video data captured by the image capture device 117 and modify parameters of the image capture device 117 or modify the captured video data accordingly.

In various embodiments, client device 110 includes one or more audio capturing devices (e.g., microphones). For example, client device 110 includes a microphone array configured for two-dimensional or three-dimensional beamforming. The audio capturing device captures audio signals from different areas within a local area around the client device 110. In various embodiments, one or more audio capture devices are coupled to the controller 210, the controller 210 maintaining information identifying different ones of the local areas surrounding the client device 110; for example, the controller 210 identifies 24 15 degree zones in a local area around the client device 110 that originate from points within the client device 110, thereby identifying zones in a 360 degree local area around the client device 110.

One or more audio capture devices are coupled to the controller 210. Depending on the privacy settings selected by the user, the controller 210 applies one or more models (e.g., machine learning models or other voice recognition models) to the audio data captured from the region in the local area around the client device 110. The controller 210 includes information identifying a user or object (e.g., television, mobile device) and applies one or more models to audio captured from a region in a local area surrounding the client device 110 to determine whether the captured audio data includes audio data or environmental noise from the user or object identified by the controller 210. In some embodiments, one or more models applied by the controller 210 determine a particular user or particular object identified by the controller 210 from which one or more audio capture devices capture audio in the region. In other embodiments, the client device 110 communicates audio data captured by one or more audio devices to the online system 140, and the online system 140 applies one or more models to determine whether the audio data includes audio data captured from an identified object or user or to determine a particular identified user or object from which the audio data was captured. The online system 140 provides an indication to the client device 110 of whether the captured audio data includes audio data captured from an identified object or user or provides information specifying a particular identified object or user from which the audio data was captured. The controller 210 or the online system 140 similarly determines whether audio was captured from other areas around the local area of the client device 110. Based on a determination of an identified object or user from which to capture audio data in different regions, the controller 210 modifies the positioning of one or more audio devices to improve the quality of audio captured from one or more regions. For example, the controller 210 repositions one or more audio capture devices to improve the quality of audio captured from a region surrounding a local area from which audio data was captured from a particular user or from a particular object. Similarly, the controller 210 may reposition the image capture device 117 or otherwise modify one or more parameters of the image capture device 117 based on a region in a local area around the client device 110 from which audio data is captured from different users or objects. In various embodiments, one or more of the audio devices and the image capture device 117 may be directed toward different portions of the local area surrounding the client device 110. For example, the image capture device 117 is oriented toward an object described by the user, while the controller 210 directs one or more audio capture devices toward a region in a local area around the client device 110 from which audio data is captured by a particular user.

In various embodiments, the online system 140 and the controller 210 of the client device 110 cooperatively and/or individually maintain and enforce one or more privacy settings of a user or person identified from captured video data or other data. The privacy settings of a user or person determine how particular information associated with the user or person may be shared and may be stored in association with information identifying the user or person. In some embodiments, the controller 210 retrieves privacy settings for one or more users maintained by the online system 140. In one embodiment, the privacy settings specify particular information associated with the user and identify other entities with which the specified information may be shared. Examples of entities with which information may be shared may include other users, applications, third party systems 130, or any entity that may potentially access information. Examples of information that may be shared by a user include: image data containing a user or person, audio data containing audio captured from a user or person, video data containing a user or person, and the like.

For example, in particular embodiments, the privacy settings may allow a first user (e.g., by opt out), by opt out (not opt in)) to specify whether the online system 140 may receive, collect, record, or store a particular object or information associated with the user for any purpose. In particular embodiments, the privacy settings may allow the first user to specify whether a particular video capture device, audio capture device, application, or process may access, store, or use a particular object or information associated with the user. The privacy settings may allow the first user to choose to join or choose to leave enabling a particular device, application, or process to access, store, or use an object or information. The online system 140 may access such information to provide a particular function or service to the first user, but the online system 140 may not be able to access the information for any other purpose. Prior to accessing, storing, or using such objects or information, the online system may prompt the user to provide privacy settings specifying which applications or processes (if any) may access, store, or use the objects or information prior to allowing any such actions. By way of example and not limitation, a first user may send a message to a second user via an application (e.g., a messaging app) associated with an online social network, and may specify privacy settings that such a message should not be stored by the online system 140.

The privacy settings maintained and enforced by the online system 140 and/or the controller 210 may be associated with default settings. In various embodiments, the controller 210 does not identify the user within the captured video data, audio data, image data, or other data unless the controller 210 obtains authorization from the user that the controller 210 identifies the user's privacy settings. For example, the privacy settings associated with the user have default settings that prevent the controller 210 from identifying the user, so the controller 210 does not identify the user unless the user manually changes the privacy settings to allow the controller 210 to identify the user. Further, in various embodiments, the replacement privacy settings management transmits information identifying the user from the client device 110 to another entity (e.g., another client device 110, the online system 140, the third party system 130). In various embodiments, the alternate privacy settings have default settings that prevent transmission of information identifying the user, which prevents the controller 210 from transmitting information identifying the user to other entities unless the user manually modifies the alternate privacy settings to authorize the transmission). The controller 210 maintains one or more privacy settings for each user identified from the captured video data or other data, allowing user-specific control over the transmission and identification of each user. In some embodiments, when the controller 210 initially identifies a person from the captured data, the controller 210 prompts the person to provide privacy settings and stores the provided privacy settings in association with information identifying the person.

In various embodiments, for various components of the online system 140 and/or client device 110 that have functionality that may use the user's personal information or biometric information (biometric information) as input for user authentication or experience personalization purposes, the user may choose to utilize these functionality to enhance their experience with the device and online system. By way of example and not limitation, a user may voluntarily provide personal information or biometric information to the online system 140. The privacy settings of the user may specify that such information may only be used for a particular process (e.g., authentication), and further specify that such information may not be shared with any third party or used for other processes or applications associated with the online system 140. As another example and not by way of limitation, the online system 140 may provide functionality for a user to provide voice-print (Voice-print) records to an online social network. By way of example and not limitation, if a user wishes to utilize this functionality of an online social network, the user may provide a voice recording of his or her own voice for providing status updates on the online social network. The recording of the voice input may be compared to the user's voiceprint to determine what the user has spoken. The privacy settings of the user may specify that such voice recordings may only be used for voice input purposes (e.g., authenticating the user, sending voice messages, improving voice recognition to use voice operation functions of the online social network), and further specify that such voice recordings may not be shared with any third party system or used by other processes or applications associated with the online system 140. As another example and not by way of limitation, the online system 140 may provide functionality for a user to provide a reference image (e.g., a facial profile) to an online social network. The online social network may compare the reference image with later received image inputs (e.g., to authenticate the user, mark the user in a photograph). The user's privacy settings may specify that such voice recordings may only be used for limited purposes (e.g., authentication, marking the user in a photograph), and further specify that such voice recordings may not be shared with any third party system or used by other processes or applications associated with system 140. Any such restrictions on capturing biometric data and/or other personal data may also be applied to client device 110.

The user may authorize capturing data in one or more ways, identify the user, and/or share and use user-related data across applications. For example, the user may pre-select various privacy settings before using the functionality of the client device 110 and/or taking actions in the online system 140. In another case, the selection dialog may be prompted when the user performs an action or uses a function of the client device 110 and/or the online system 140 for the first time, and/or when the user has not performed an action or used a function for a predetermined period of time. In yet another example, when certain functions requiring user data begin to operate or are disabled due to user selection, client device 110 and online system 140 may also provide notifications to the user to allow the user to make further selections via the notifications. Other suitable ways of authorizing the user are also possible.

In some embodiments, the controller 210 obtains information maintained by the online system 140 or from one or more third party systems 130 for a user identified from the captured video data, according to the user's privacy settings. Based on video data, audio data, image data, or other data including the user previously captured by the client device 110, and the obtained information, the controller 210 may generate content for presentation to the user via the client device 110. For example, the controller 210 overlays (overlays) content items from the online system 140 associated with one or more objects identified by the controller 210 from video data or image data captured by the client device 110. Alternatively, the online system 140 generates content for the user based on video data, image data, audio data, or other data received from the client device 110 including the user, as well as information maintained by the online system 140 for the user (or information obtained by the online system 140 from one or more third party systems 130), and provides the generated content to the client device 110 for presentation to the user.

Fig. 3 is a block diagram of the architecture of the online system 140. The online system 140 shown in FIG. 3 includes a user profile store 305, a content store 310, an action recorder 315, an action log 320, an edge store 325, a content selection module 330, and a web server 335. In other embodiments, the online system 140 may include additional, fewer, or different components for various applications. Conventional components (e.g., network interfaces, security functions, load balancers, failover servers, management and network operations consoles, etc.) are not shown in order not to obscure details of the system architecture.

Each user of the online system 140 is associated with a user profile that is stored in a user profile store 305. The user profile includes declarative information about the user that is explicitly shared by the user and may also include profile information inferred by the online system 140. In one embodiment, the user profile includes a plurality of data fields (data fields), each data field describing one or more attributes of a respective online system user. Examples of information stored in the user profile include biographical information, demographic information, and other types of descriptive information (e.g., work experience, educational history, gender, hobbies or preferences, location, etc.). The user profile may also store other information provided by the user, such as images or videos. In some embodiments, the user's image may be tagged with information identifying the online system user displayed in the image, where the information identifying the user's tagged image is stored in the user's user profile. The user profile in the user profile store 305 may also maintain references to actions performed by the respective user on the content items in the content store 310 and stored in the action log 320.

In addition, the user profile maintained for the user includes characteristics of one or more client devices 110 associated with the user, allowing the online system 140 to subsequently identify the user from the characteristics provided by the client devices 110. For example, an application associated with the online system 140 and executing on the client device 110 provides a device identifier or other information uniquely identifying the client device 110 to the online system 140 in association with the user identifier. The online system 110 stores a device identifier or other information uniquely identifying the client device 110 in a user profile maintained for the user, which allows for subsequent user identification if the online system 140 receives the device identifier or other information uniquely identifying the client device 110. Other characteristics of the client device 110 associated with the user may alternatively or additionally be included in a user profile maintained by the user. For example, the user profile includes a network address used by the client device 110 to access the network 120, an identifier of an application executing on the client device 110 from which the online system 140 receives information, a type of the client device 110 from which the online system 140 receives information (e.g., manufacturer, an identifier of a model of the client device 110, etc.), and an operating system executing on the client device 110 from which the online system 140 receives information. However, the online system 140 may store any suitable characteristics of the client device 110 in the user profile, which allows the online system 140 to maintain information about the client device 110 used by the user corresponding to the user profile.

While the user profile in the user profile store 305 is typically associated with individuals, allowing individuals to interact with each other via the online system 140, the user profile may also be stored for entities such as businesses or organizations. This allows entities to establish presence on the online system 140 for contacting and exchanging content with other online system users. An entity may use a brand page associated with the entity's user profile to publish information about itself, about its products, or to provide other information to users of the online system 140. Other users of the online system 140 may be connected to the brand page to receive information published to or from the brand page. The user profile associated with the brand page may include information about the entity itself to provide the user with context or information data about the entity.

Content store 310 stores objects that each represent various types of content. Examples of content represented by objects include page posts, status updates, photos, videos, links, shared content items, game application achievements, check-in events at local businesses, brand pages, or any other type of content. An online system user may create an object stored by content store 310, such as a status update, a photo, event, group, or application that is marked by the user as being associated with other objects in online system 140. In some embodiments, the object is received from a third party application or a third party application independent of the online system 140. In one embodiment, the objects in the content store 310 represent a single piece of content (single piece of content) or content "item (item)". Thus, online system users are encouraged to communicate with each other by publishing text and content items of various types of media to the online system 140 via various communication channels. This increases the amount of interaction between the users and each other and increases the frequency with which the users interact within the online system 140.

One or more content items included in the content store 310 include a creative (creative) that is content for presentation to a user and a bid amount (bid amount). Creatives are text, images, audio, video, or any other suitable data that is presented to a user. In various embodiments, the creative also specifies a page of content. For example, the content item includes a link to a network address of a landing page specifying content to which the user is directed when the content item is accessed. If content is presented to the user, the bid amount is included in the content item by the user, and is used to determine an expected value, such as monetary compensation, that the advertiser provides to the online system 140 if the content in the content item is presented to the user, if the content in the content item receives user interaction while being presented, or if any suitable condition is met when the content in the content item is presented to the user. For example, the bid amount included in the content item specifies a monetary amount that the online system 140 receives from a user providing the content item to the online system 140 if the content in the content item is displayed. In some embodiments, the expected value for the online system 140 to present content from the content item may be determined by multiplying the bid amount by the probability of the user accessing the content of the content item.

The various content items may include an intent (object) that identifies interactions that a user associated with the content item desires other users to perform when presented with content included in the content item. Example intents include: installing an application associated with the content item, indicating preferences for the content item, sharing the content item with other users, interacting with objects associated with the content item, or performing any other suitable interaction. When content from a content item is presented to an online system user, the online system 140 records interactions of objects between users presented with or associated with the content item. Further, when the online system user performs an interaction with the content item that satisfies the intent included in the content item, the online system 140 receives compensation from the user associated with the content item.

Further, the content items may include one or more positioning criteria (targeting criteria) specified by a user providing the content items to the online system 140. The positioning criteria included in the content item request specify one or more characteristics of the user that qualify to be presented with the content item. For example, the location criteria are used to identify users having user profile information, edges, or actions that satisfy at least one of the location criteria. Thus, the positioning criteria allow the user to identify users with specific characteristics, which simplifies subsequent distribution of content to different users.

In one embodiment, the positioning criteria may specify the type of action or relationship between the user and another user or object of the online system 140. The positioning criteria may also specify interactions between the user and objects executing outside of the online system 140 (e.g., on the third party system 130). For example, the positioning criteria identifies a user that has taken a particular action (e.g., sending a message to another user, using an application, joining a group, leaving a group, joining an event, generating an event description, purchasing or viewing a product or service using an online marketplace, requesting information from a third-party system 130, installing an application, or performing any other suitable action). The inclusion of actions in the positioning criteria allows the user to further refine the user that is entitled to be presented with the content item. As another example, the positioning criteria identifies a user that is associated with another user or object or has a particular type of association with another user or object.

Based on the privacy settings, the action logger 315 may be authorized to receive communications regarding user actions internal and/or external to the online system 140, populating the action log 320 with information regarding the user actions. Examples of actions include adding an association with another user, sending a message to another user, uploading an image, reading a message from another user, viewing content associated with another user, and attending an event published by another user. Further, many actions may involve one object and one or more specific users, so these actions are also associated with a specific user and stored in the action log 320.

Based on the privacy settings, the action log 320 may be authorized by the user to be used by the online system 140 to track user actions on the online system 140 and actions on the third party system 130 that communicate information to the online system 140. The user may interact with various objects on the online system 140 and information describing these interactions is stored in the action log 320. Examples of interactions with objects include: comment posts, shared links, check-in at physical locations via client device 110, access to content items, and any other suitable interactions. Additional examples of interactions with objects on the online system 140 included in the action log 320 include: an album is evaluated, communicated with a user, established an association with an object, joined an event, joined a group, created an event, authorized an application, used an application, expressed a preference for an object ("praise" object), and participated in a transaction. In addition, the action log 320 may record user interactions with advertisements on the online system 140 as well as interactions with other applications running on the online system 140. In some embodiments, data from the action log 320 is used to infer interests or preferences of the user, enhance interests included in the user's user profile, and allow for a more complete understanding of the user's preferences.

The action log 320 may also store user actions taken on the third party system 130 (e.g., an external website) and transmitted to the online system 140, depending on the privacy settings of the user. For example, an e-commerce website may identify users of the online system 140 by enabling the e-commerce website to identify social plug-ins of the users of the online system 140. Because the user of the online system 140 is uniquely identifiable, the e-commerce web site (e.g., in the previous example) may communicate information about the user's actions external to the online system 140 for association with the user. Thus, the action log 320 may record information about actions performed by the user on the third party system 130, including web browsing history, participating advertisements, completed purchases, and other patterns from shopping and purchasing. Further, actions performed by a user via an application associated with the third party system 130 and performed on the client device 110 may be communicated by the application to the action logger 315 for logging in the action log 320 and association with the user.

In one embodiment, edge store 325 stores information describing the relationships between users and other objects on online system 140 as edges. Some edges may be user defined allowing users to specify their relationship with other users. For example, a user may generate edges with other users that are parallel to the user's real life relationship (e.g., friends, colleagues, buddies, etc.). Other edges are generated when a user interacts with objects in the online system 140 (e.g., expresses interests in pages on the online system 140, shares links with other users of the online system 140, and comments on posts made by other users of the online system 140).

The edges may include various features, each feature representing a characteristic of an interaction between users, an interaction between a user and an object, or an interaction between objects. For example, the features included in the edges describe the rate of interaction between two users, how two users have recently interacted with each other, the rate or amount of information one user retrieves about an object, or the number and type of comments a user has posted about an object. These features may also represent information describing a particular object or user. For example, the features may represent a degree of interest of the user in a particular topic, a rate at which the user logs into the online system 140, or information describing demographic information about the user. Each feature may be associated with a source object or user, a target object or user, and a feature value. A feature may be specified as an expression based on a value describing a source object or user, a target object or user, or an interaction between a source object or user and a target object or user; thus, an edge may be represented as one or more feature expressions.

The edge store 325 also stores information about edges, such as affinity scores (affinities score) for objects, interests, and other users. The online system 140 may calculate an affinity score or "affinity" over time to approximate a user's interest in another user or object in the online system 140 based on actions performed by the user. The online system 140 may calculate the affinity of the user over time to approximate the user's interest in another user, object, or topic in the online system 140 based on the actions performed by the user. Calculation of affinity is further described in U.S. patent application Ser. No. 12/978,265, U.S. patent application Ser. No. 13/690,254, U.S. patent application Ser. No. 13/689,969, and U.S. patent application Ser. No. 13/690,088, both filed on Ser. No. 12/978,23, and filed on 11/30, 2012, each of which is incorporated herein by reference in its entirety. In one embodiment, multiple interactions between a user and a particular object may be stored as a single edge in the edge store 325. Alternatively, each interaction between a user and a particular object is stored as a separate edge. In some embodiments, the relationships between users may be stored in the user profile store 305, or the user profile store 305 may access the edge store 325 to determine the relationships between users.

The content selection module 330 selects one or more content items for delivery to the client device 110 for presentation to a user. The content selection module 330 retrieves content items from the content store 310 or from another source that are eligible for presentation to the user, and the content selection module 330 selects one or more of these content items for presentation to the viewing user. Content items that qualify for presentation to a user are content items that are associated with at least a threshold number of positioning criteria that are met by a characteristic of the user, or content items that are not associated with positioning criteria. In various embodiments, the content selection module 330 includes content items that are eligible for presentation to the user in one or more selection processes that identify a set of content items to be presented to the user. For example, the content selection module 330 determines relevance metrics for various content items to the user based on attributes associated to the user by the online system 140 and based on the affinity of the user for different content items. The relevance metric of the content item to the user is based on a metric of quality of the content item for the user, which may be based on the creative included in the content item and the content of the landing page identified by the links in the content item. Based on the relevance metric, the content selection module 330 selects the content item for presentation to the user. As an additional example, the content selection module 330 selects the content item with the highest relevance metric or with at least a threshold relevance metric for presentation to the user. Alternatively, the content selection module 330 ranks the content items based on their associated relevance metrics and selects the content item having the highest position in the ranking or at least a threshold position in the ranking for presentation to the user.

Content items eligible for presentation to the user may include content items associated with a bid amount. When selecting content for presentation to a user, the content selection module 330 uses a bid amount associated with the content item. In various embodiments, the content selection module 330 determines expected values associated with various content items based on the bid amounts of the various content items and selects the content item associated with the largest expected value or at least with the threshold expected value for presentation. The expected value associated with the content item represents an expected amount of compensation for the online system 140 for rendering the content item. For example, the expected value associated with the content item is a product of the bid amount of the content item and the likelihood of the user interacting with the content item. The content selection module 330 can rank the content items based on their associated bid amounts and select content items having at least a threshold position in the ranking for presentation to the user. In some embodiments, the content selection module 330 ranks content items not associated with a bid amount and content items associated with a bid amount in a unified ranking based on the bid amounts and relevance metrics associated with the content items. Based on the unified ranking, the content selection module 330 selects content for presentation to the user. Selection of content items associated with a bid amount and content items not associated with a bid amount by unified ranking is further described in U.S. patent application No. 13/545,266 filed on 7/10 2012, which is incorporated herein by reference in its entirety.

For example, the content selection module 330 receives a request to present a content information stream (feed) to a user of the online system 140. The information stream includes content items, such as dynamic (stores) describing actions associated with other online system users connected to the user. The content selection module 330 accesses one or more of the user profile store 305, the content store 310, the action log 320, and the edge store 325 to retrieve information about the user. For example, information describing actions associated with other users connected to the user or other data associated with users connected to the user is retrieved. The content selection module 330 retrieves and analyzes content items from the content store 310 to identify candidate content items that qualify for presentation to a user. For example, content items associated with users that are not connected to the user or dynamics associated with users that have less than a threshold affinity for the user are discarded as candidate content items. Based on various criteria, the content selection module 330 selects one or more content items identified as candidate content items for presentation to the identified user. The selected content item is included in a content information stream presented to the user. For example, the content information stream includes at least a threshold number of content items that describe actions associated with a user connected to the user via the online system 140.

In various embodiments, the content selection module 330 presents content to a user via an information stream that includes a plurality of content items selected for presentation to the user. The content selection module 330 may also determine an order in which the selected content items are presented via the information stream. For example, the content selection module 330 ranks content items in the information stream based on the likelihood of user interaction with various content items.

Based on the user's actions or permissions, the content selection module 330 receives video data captured by the image capture device 117 included in the client device 110 associated with the user of the online system and sends the video data to the receiving client device 110 for presentation to the viewing user via the display device 115. The online system 140 may receive a request from the client device 110 identifying the viewing user and then provide video data from the client device 110 to the receiving client device 110 in response to receiving authorization from the viewing user. Instead, the online system 140 receives a request from a viewing user via the receiving client device 110 and then provides video data received from the client device 110 to the receiving client device 110 in response to receiving an authorization from the user. This allows different users of the online system 140 to exchange video data captured by the client device 110 associated with the user via the online system 140.

Further, the content selection module 330 may receive instructions from the viewing user via the receiving client device 110 and send one or more instructions to the client device 110. Based on the received instructions, the client device 110 modifies video data captured after the instructions are received or modifies one or more parameters of the image capture device 117 based on the instructions. Accordingly, the client device 110 modifies the captured video data based on one or more instructions from the receiving client device 110 and sends the modified video data or video data captured by the image capture device 117 using the modified parameters to the content selection module 330, which content selection module 330 sends the video data to the receiving client device 110, as described further below in connection with fig. 4. This allows the viewing user to modify or adjust the video data captured by the client device 110 and provided to the viewing user via the receiving client device 110.

In various embodiments, the content selection module 330 implements one or more privacy settings of the user of the online system 140. The privacy settings of the user determine how particular information associated with the user may be shared and may be stored in the user profile of the user in the user profile store 305. In one embodiment, the privacy settings specify particular information associated with the user and identify other entities with which the specified information may be shared. Examples of entities with which information may be shared may include other users, applications, third party systems 130, or any entity that may potentially access information. Examples of information that may be shared by a user include user profile information (e.g., profile photos), phone numbers associated with the user, user's associations, video data including the user, actions taken by the user (e.g., adding an association), changing user profile information, and so forth. In various embodiments, the online system 140 maintains privacy settings associated with the user with default settings that prevent other entities from accessing or receiving content associated with the user, and allows the user to modify different privacy settings to allow other entities specified by the user to access or retrieve content corresponding to the modified privacy settings.

The privacy settings specifications may be provided at different levels of granularity. In one embodiment, the privacy settings may identify particular information to be shared with other users. For example, the privacy settings identify a work phone number or a particular set of related information (e.g., personal information including profile photos, home phone numbers, and status). Alternatively, the privacy settings may be applied to all information associated with the user. The specification of the set of entities that can access specific information may also be specified at different levels of granularity. The various sets of entities with which information may be shared may include, for example, all users connected to the user, a group of users connected to the user, additional users connected to the user, all applications, all third party systems 130, a particular third party system 130, or all external systems.

One embodiment uses enumeration of entities to specify entities that are allowed to access the identified information or to identify the type of information presented to different entities. For example, a user may specify the type of action to be communicated to other users or to a specified group of users. Alternatively, the user may specify the type of action or the type of other information that is not published or presented to other users.

The content selection module 330 includes logic that determines whether certain information associated with a user may be accessed by other users, third party systems 130, and/or other applications and entities connected to the user via the online system 140. Based on the user's privacy settings, the content selection module 330 determines whether another user, third party system 130, application, or another entity is allowed to access information associated with the user (including information about actions taken by the user). For example, the content selection module 330 uses the privacy settings of a user to determine whether video data including the user can be presented to another user. This enables the user's privacy settings to specify which other users or other entities are allowed to receive data regarding the user's actions or other data associated with the user.

The web server 335 links the online system 140 to one or more client devices 110 and to one or more third party systems 130 via the network 120. web server 335 provides web pages and other content, e.g

XML, etc. web server 335 may receive messages and route the messages (e.g., instant messages, queued messages (e.g., e-mail), text messages, short Message Service (SMS) messages, or messages sent using any other suitable messaging technique) between online system 140 and client device 110. The user may send a request to the web server 335 to upload information (e.g., images or videos) stored in the content store 310. In addition, web server 335 may provide Application Programming Interface (API) functionality to send data directly to a local client device operating system, e.g.

ANDROID ^TM Or blackberry os.

Modifying video data capture based on characteristics of previously captured video data

FIG. 4 is an interaction diagram of one embodiment of a method of modifying the capture of video data by image capture device 117 based on characteristics of video previously captured by image capture device 117. In various embodiments, the steps described in connection with fig. 4 may be performed in a different order. Furthermore, in some embodiments, the method may include steps different from and/or additional to those shown in fig. 4.

As further described above in connection with fig. 1 and 2, the image capture device 117 is included in the sending client device 110A and captures 405 video data of a local area surrounding the sending client device 110A. The image captured by the image capture device 117 is transmitted to a controller 210 included in the sending client device 110A (or coupled to the client device 110 in other embodiments). In various embodiments, the user may authorize the controller 210 to apply one or more machine learning models (e.g., through selection of pre-selected privacy settings and/or prompts) to characteristics of video captured 405 by the image capture device 117 to locate a person included in the captured video data. In various embodiments, the controller 210 modifies the video data to more prominently present the located user and sends 410 the modified video data to the online system 140. The located user is presented more prominently by being presented in the video data in at least one set of threshold sizes (e.g., in at least a threshold height or a threshold width), in at least a threshold amount of field of view of the image capture device 117 or in at least a threshold amount of frames of the captured video data, or in one or more particular locations within the captured video data. For example, the controller 210 clips the captured video data to remove portions of the video data that do not include at least one person. As another example, the controller 210 increases the zoom (also referred to as magnification) of a portion of the video data that includes a person. To modify the captured video data, the controller 210 may modify the video data after it is captured by the image capture device 117, or may modify one or more parameters of the image capture device 117 to modify how the image capture device 117 captures 405 the video data.

In various embodiments, the controller 210 applies one or more methods to locate a person within the captured video data. However, the controller 210 may similarly locate objects (e.g., appliances, furniture, products) by applying one or more models to the captured video data. Although the following examples relate to applying a model to video data, one or more models may be applied to video data, audio data, image data, any other data captured by client device 110, and any combination thereof. The controller 210 may use any suitable model or combination of models to locate a person within the video data captured 405 by the image capture device 117. The model applied to the captured video data by the controller 210 may perform (two-dimensional or three-dimensional) face tracking, two-dimensional pose tracking, three-dimensional pose tracking, or any other suitable method to identify portions of a person's face or portions of a person's body. Similarly, a model applied by the controller 210 may identify objects from the captured video data. In some embodiments, based on the authorization of the user, the controller 210 communicates with the online system 140 to more specifically identify the object or person based on information obtained from the online system 140, while in other embodiments, the controller 210 maintains a model locally to identify a different object or person from the captured video data. Based on the application of the one or more models, the controller 210 may modify cropping or scaling of the captured video data comprising certain portions of the body of the located user to more prominently display the certain portions of the body of the located user. For example, when the one or more models identify a face of a person, the controller modifies the captured video data to remove portions of the video data that do not include the face of the person. If the application of one or more models locates multiple persons in the captured video data, the controller 210 modifies the captured video data so that different portions of the video display different persons. For example, the controller 210 divides the captured video data into a grid, each region of the grid displaying one or more portions of a different person. In other embodiments, the controller 210 increases the magnification (i.e., zoom) of the image capture device 117 on a portion of the video data that includes a portion of a person. Accordingly, the controller 210 may crop or increase the magnification (i.e., zoom) of the portion of the captured video data to modify the video data to more significantly present the portion of the one or more persons located within the captured video data. Further, when modifying captured video data based on the application of one or more models, the controller 210 may apply the one or more models to stabilize the modified video data to present portions of one or more located persons at a higher quality.

Based on the privacy settings, the controller 210 may also apply one or more models to locate a part of the body of the identified person and modify one or more parameters of the image capture device 117 or video data captured by the image capture device 117 to modify a portion of the body of the located person included in the captured video data. For example, the controller 210 locates different joints of the body of the identified person and modifies the captured video data or parameters of the image capture device 117 to include joints corresponding to different parts of the body of the located person in the captured video data. Accordingly, the controller 210 may modify whether the captured video data includes a person's head, a person's head and torso, or a person's whole body. The controller 210 may include various rules that modify the portion of the person's body included in the captured video data based on content included in the previously captured video data, movement identified in the previously captured video data, or any other suitable characteristic identified from the video data.

In various embodiments, one or more models applied by the controller 210 apply one or more rules to modify video data captured 405 by the image capture device 117 of the sending client device 110A. For example, if the controller 210 also determines that the face of the person located from the video data is facing the camera, the controller 210 modifies the captured video data to more prominently display the person located from the video data by modifying the scaling of the captured data on the portion of the video data where the person is located, or by modifying the cropping of the portion of the video data where the person is located to remove objects other than the person. As an example, if the one or more models applied by the controller 210 determine that the face of the person is facing the image capture device 117 (e.g., if one or more particular features of the face of the person were captured by the image capture device 117), the controller 210 modifies the captured video data to more prominently display the face of the user. In another example, the controller 210 determines a distance between the person located within the video data and the image capture device 117 and modifies the captured video data to significantly display the person having the smallest determined distance from the image capture device 117 or significantly display the person having the determined distance from the image capture device less than the threshold distance. In another example, as a person or object moves, the controller 210 applies one or more models to reposition the image capture device 117, allowing video data captured by the image capture device 117 to track the movement of the person or object.

The one or more models applied by the controller 210 may modify the captured video data based on rules that consider the locations of the plurality of people identified in the captured video data. In various embodiments, the user may authorize the controller 210 to locate the user in the captured video, the controller 210 applying a model to the captured video that determines the location within the captured video data that is oriented by the gaze of the identified user. In response to determining that at least a threshold number or number of the located users have gaze toward a location within the captured video data that includes the particular person, the controller 210 modifies the captured video data to more prominently display the particular person (e.g., crop the captured video data to remove content other than the particular person, increase the magnification or zoom of the particular person). As another example, the controller 210 determines the distance between different people positioned within the video data and modifies the captured video data to more prominently display people within a threshold distance of each other; this allows the controller 210 to modify the captured video data by cropping or scaling a portion of the video data where a group of people is located. Further, the controller 210 may remove one or more frames from the captured video data based on the identified objects or people within the captured video data; for example, if less than a threshold number of objects or people are identified within the captured video data, or if less than a threshold number of movements of the objects or people identified within the captured video data are determined, the controller 210 removes frames from the captured video data before sending 410 the captured video data to the online system 140. In other embodiments, the online system 140 uses the above criteria to remove frames from video data received from the sending client device 110A prior to sending 415 the captured video data to the receiving client device 110B, as described further below.

The controller 210 may receive data from other components of the sending client device 110A and modify the captured video data based on characteristics of the received video data and data from other components of the sending client device 110A. For example, the image capture device 117 or the client device 110 includes an audio capture device (e.g., a microphone) configured to capture audio data from a local area surrounding the client device 110. When modifying the captured video data, the user may authorize the controller 210 to process the captured audio data along with the captured video data. In various embodiments, the controller 210 applies one or more models to the captured audio data to determine locations within the captured video data that include audio data sources. The controller 210 applies one or more models to locations within the captured video data that include sources of audio data. Responsive to the application of the model determining that the location within the captured video data that includes the audio data source includes a person, the controller 210 modifies the captured video data to more significantly present the location within the captured video data that includes the audio data source (i.e., increases the scale of the location of the source that includes the captured audio data, or clips the location of the source that includes the captured audio data to remove objects other than the source of the captured audio data), or repositions the image capture device 117 to focus on the audio data source. However, in response to determining that the location within the captured video data that includes the audio data source does not include a person, the controller 210 does not modify the captured video data or relocate the image capture device 117. As another example, the controller 210 modifies the captured video data or repositions the image capture device 117 to more prominently present the person positioned within the captured video data that the controller 210 determines is the source of the captured audio data, allowing the captured video data to more prominently display the person determined to be speaking or otherwise providing the audio data captured by the audio capture device of the sending client device 110A (i.e., to increase the scale including the location of the person determined to be providing the audio data, or to crop the location of the source including the captured audio data to remove objects other than the person determined to be providing the audio data).

In some embodiments, the user may also authorize the controller 210 to apply one or more models to modify captured video data or parameters of the image capture device 117 of the client device 110 based on video data previously captured 405 by the image capture device 117. For example, if the controller 210 locates multiple persons in the captured video data, the controller 210 modifies one or more parameters of the captured video data or the imaging device 117 such that each located person is significantly presented in the captured video (e.g., presented in the video data in at least one set of threshold sizes, in at least a threshold amount of fields of view of the image capture device 117, or in at least a threshold amount of frames of the captured video data, or in one or more particular locations within the captured video data) for a minimum amount of time. As another example, according to the privacy settings, the controller 210 stores information identifying persons positioned in the captured video data that have been significantly presented in the captured video data for at least a threshold amount of time. When the controller 210 locates another person in the captured video data, the controller 210 compares the other person with the stored information identifying the person that has been significantly presented in the captured video data. In response to determining that the stored information does not identify the other person, the controller 210 modifies the captured video data or modifies one or more parameters of the image capture device 117 to substantially display the other person for at least a threshold amount of time. This allows the controller 210 to modify the video data such that everyone that the controller 210 locates in the video data is significantly displayed for at least a threshold amount of time.

Further, the controller 210 may modify the captured video data or parameters of the image capture device 117 in response to identifying the movement of the person being located in the captured video data. For example, if one or more models applied to the captured video by the controller 210 determine that the positioned person is gesturing toward the object, the controller 210 modifies the captured video such that the positioned person and object are significantly presented. As one example, if the captured video significantly displays the located person (e.g., displays the located person in at least one set of threshold sizes, or displays the located person to occupy at least a threshold amount of one or more frames of video data) and the controller determines that the located person is gesturing toward the object, the controller 210 modifies the captured video so that the located person and object are presented in the video data. For example, the controller 210 reduces the magnification of the captured video data such that both the located person and the object are included in the captured video. In another example, if the controller 210 applies one or more models that determine that the person being positioned is holding an object, the controller 210 modifies the captured video data or one or more parameters of the image capture device 117 such that the object is significantly presented (e.g., changes the focus of the imaging device 117 to the object and increases the zoom of the image capture device 117). In some embodiments, the controller 210 may significantly present the object held by the positioned person in the captured video data for a specified amount of time and then modify the parameters of the captured video data or image capture device 117 so that the positioned person is again significantly presented with the captured video data.

The sending client device 110A sends 410 video data (which may be modified by the controller 210 as further described above) from the sending client device 110A to the online system 140, and the online system 140 sends 415 captured video data to the receiving client device 110B. Using the display device 115, the receiving client device 110B presents 420 the video data from the online system 140 to a viewing user of the online system 140. In various embodiments, the viewing user communicates a request to communicate with the sending client device 110A from the receiving client device 110B to the online system 140. The online system 140 transmits the request to the sending client device 110A, and the sending client device 110A provides a response to the online system 140. If the sending client device 110A provides authorization to the online system 140 in response to the request, the online system 140 transmits video data captured 405 by the image capture device 117 of the sending client device 110A and provided to the online system 140 to the receiving client device 110B for presentation on the display device 115, and vice versa.

In various embodiments, the user may authorize the sending client device 110A to provide information to the online system 140 (e.g., based on predetermined privacy settings and through user actions) identifying one or more users corresponding to persons located by the controller 210 within the captured video, including information identifying one or more users within the video data sent 420 to the receiving client device 110B. Alternatively, the sending client device 110A identifies to the online system 140 the portion of video data that includes the person located by the controller 210, and the online system 140 compares the portion of video data in which the person located by the controller 210 is located with the stored image that identifies the user of the online system. Based on the privacy settings, the online system 140 retrieves information identifying users identified by stored images that the online system 140 determines to have at least a threshold similarity to the portion of the video data where the person located by the controller 210 is located. This allows the online system 140 to identify the user of the online system 140 included in the video data received from the sending client device 110A if the user chooses to incorporate such identifying features. The online system 140 may apply one or more facial recognition processes or other recognition processes to the portion of the received video data where the person located by the controller 210 is located and the image identifying the user stored by the online system 140 (e.g., a profile picture in the user's user profile, an image of the user including the user's face marked with identifying information) to determine whether the person located in the portion of the received video data is an online system user. For example, the online system 140 augments the video data from the sending client device 110A such that information identifying the online system user (e.g., first and last names, email addresses) is superimposed on a portion of the video data from the sending client device 110A that includes a person identified by the online system 140 as the online system user. The online system 140 sends 420 the enhanced video data to the receiving client device 110B. Alternatively, the online system 140 generates information identifying an online system user corresponding to a person located in the video data received from the transmitting client device 110A, and transmits the information identifying the online system user corresponding to the person in the video to the receiving client device 110B along with the video data. For example, the online system 140 generates a list of first and last names or a list of user names of online system users corresponding to people in the video data received from the sending client device 110A for presentation to the viewing user by the receiving client device 110B in conjunction with the video data.

In some embodiments where the user authorizes various user-related data for improving the user experience of the online system 140, the online system 140 may consider the affinity between a viewing user associated with the receiving client device 110B and a user identified in video data received from the sending client device 110A when generating information identifying the online system user corresponding to the person located in the video data received from the sending client device 110A. For example, the online system 140 generates identification information for online system users identified from video data received from the sending client device 110A that are relevant to viewing users maintained by the online system 140; in some embodiments, the online system 140 may not generate identification information for online system users identified from video data received from the sending client device 110A that are not associated with the viewing user. Alternatively, the online system 140 visually distinguishes the identification information of online system users connected to the viewing user identified from the received video data from the identification information of online system users not connected to the viewing user. As another example, the online system 140 determines the affinity of the viewing user for each online system user identified in the video data received from the sending client device 110A and modifies the presentation of the identification information of the online system user identified in the video data. For example, the online system 140 generates information identifying online system users identified from the received video data that visually distinguishes the online system 140 from the identified online system users for which the viewing user has at least a threshold affinity. As another example, the online system 140 ranks information identifying online system users identified from the received video data based on their affinities for online system users identified from the received video data; the online system 140 generates information that visually distinguishes information identifying online system users identified from received video data that have at least a threshold position in the ranking from information identifying other online system users identified from the received video data. In another embodiment, the online system 140 generates information based on the affinity of the viewing user for online system users identified from the received video data, the information presenting information identifying online system users identified from the received video data.

Receiving client device 110B presents 420 video data from online system 140 via display device 115, allowing transmitting client device 110A to provide video data for presentation to receiving client device 110B. Information from the online system 140 identifying the user of the online system 140 is presented by the receiving client device 110B in conjunction with the video data. Based on the presented video data, the receiving client device 110B receives 425 a selection of the user of interest from the viewing user and sends 430 information identifying the user of interest to the online system 140. In various embodiments, the viewing user may select an object of interest. For example, the viewing user selects information identifying a user of interest from the information identifying the user of the online system 140 presented by the receiving client device 110B in conjunction with the video data, and the receiving client device 110B sends 430 the information identifying the user of interest to the online system 140. The viewing user may select information identifying the user of interest from information describing the user included in the video data and presented by the receiving client device 110B along with the video data. Alternatively, the viewing user selects a portion of the presented video data that includes a person, and the receiving client device 110B identifies the selected portion of the presented video data to the online system 140, the online system 140 compares the content of the selected portion of the video data with stored images of faces or bodies associated with the user (e.g., images included in a user profile, images in which various users are identified maintained by the online system 140), and identifies users associated with one or more stored images that match the content of the selected portion of the video as interested users.

The online system 140 sends 435 information identifying the user of interest to the sending client device 110A. Based on the information identifying the user of interest and the characteristics of the object included in the video data captured 405 by the image capture device 117, the controller 210 modifies 440 the captured video data or parameters of the image capture device 117 of the sending client device 110A to more prominently present the user of interest. The modification may be made after a notification is displayed on the client device 110A as to how the captured video may be changed for viewing and authorization by the captured user and/or based on a list of pre-authorized persons controlling the receiving client device 110B with reference to (e.g., through privacy settings). Modification may include modifying parameters of the image capture device 117 to increase magnification of portions of the video data that include the user of interest, or to remove portions of the video data that do not include the user of interest. In various embodiments, the controller 210 of the sending client device 110A applies one or more of the models described further above to the captured video data to modify 440 the captured video data to more prominently present the user of interest. Modified video data for significantly presenting the user of interest is sent 445 from the sending client device 110A to the online system 140, the online system 140 sends 450 the video data for significantly presenting the user of interest to the receiving client device 110B, and the receiving client device 110B presents 455 the modified video data to the viewing user.

The controller 210 may apply one or more models to video data captured after receiving information identifying a user of interest to modify one or more parameters of the image capture device 117 to follow the user of interest around the local area. For example, the controller 210 applies one or more facial recognition models to the located person in the captured video data to identify the face of the person that matches the face of the user of interest (received from the online system 140 or identified from previously captured 405 video data based on information from the online system), and then repositions the focus of the image capture device 117 to the person that has a face that matches the face of the user of interest. Alternatively, the controller 210 extracts a chromaticity diagram from the captured video data including the user of interest and repositions the focus of the image capturing device 117 so that the extracted chromaticity diagram remains included in the video data captured by the image capturing device 117. In some embodiments, the controller 210 receives information identifying a user of interest and then modifies the image capture device 117 to track the identified person or object, allowing video data captured by the image capture device 117 to track the movement of the identified person or object.

In various embodiments, the viewing user provides additional instructions to the online system 140 to modify video data presented by the display device 115 of the receiving client device 110B, and the online system 140 sends these instructions to the sending client device 110A. Based on instructions from the online system 140, the controller 210 of the sending client device 110A modifies one or more parameters of the image capture device 117 or modifies video data captured 405 by the image capture device 117. For example, viewing the instructions provided by the user via the online system 140 causes the controller 210 to configure the image capture device 117 of the sending client device 110A such that the image capture device 117 is repositioned as the user of interest moves within the field of view of the image capture device 117. As another example, the instructions provided by the viewing user via the online system 140 identify objects within the video data captured 405 by the image capture device 117 of the sending client device 110A and presented via the receiving client device 110B. When the sending client device 110A receives instructions from the online system 140, the controller 210 modifies the captured video data or modifies one or more parameters of the image capture device 117 such that the captured video data subsequently provided to the additional client device 110 includes the identified object. This allows the viewing user to provide instructions to the sending client device 110A to modify video data captured by the image capturing device 117 of the sending client device 110A and presented to the viewing user via the receiving client device 110B. In various embodiments, the viewing user may provide instructions to the online system 140 for communicating with the sending client device 110A to modify the video data captured by the sending client device 110A without identifying the user of interest from the video data captured by the sending client device 110A and presented 425 by the receiving client device 110B. This allows the viewing user to change the video data captured 405 by the sending client device 110A.

Conclusion(s)

The foregoing description of the embodiments of the disclosure has been presented for the purposes of illustration; it is not intended to be exhaustive or to limit the patent rights to the precise form disclosed. One skilled in the relevant art will recognize that many modifications and variations are possible in light of the above disclosure.

Some portions of this description describe embodiments in terms of algorithms and symbolic representations of operations on information. These algorithmic descriptions and representations are the means used by those skilled in the data processing arts to effectively convey the substance of their work to others skilled in the art. These operations, although described functionally, computationally, or logically, are understood to be implemented by computer programs or equivalent circuits, microcode, or the like. Furthermore, it has sometimes proven convenient at times, to refer to these arrangements of operations as modules, without loss of generality. The described operations and their associated modules may be embodied in software, firmware, hardware, or any combination thereof.

Any of the steps, operations, or processes described herein may be performed or implemented with one or more hardware or software modules, alone or in combination with other devices. In one embodiment, the software modules are implemented using a computer program product comprising a computer readable medium containing computer program code executable by a computer processor for performing any or all of the steps, operations, or processes described.

Embodiments may also relate to an apparatus for performing the operations herein. The apparatus may be specially constructed for the required purposes, and/or it may comprise a general purpose computing device selectively activated or reconfigured by a computer program stored in the computer. Such a computer program may be stored in a non-transitory, tangible computer readable storage medium, or any type of medium suitable for storing electronic instructions, which may be coupled to a computer system bus. Furthermore, any of the computing systems mentioned in the specification may include a single processor, or may be an architecture employing a multi-processor design to increase computing power.

Embodiments may also relate to products produced by the computing processes described herein. Such an article of manufacture may comprise information generated by a computing process, wherein the information is stored on a non-transitory, tangible computer-readable medium and may comprise any embodiment of a computer program product or other data combination described herein.

Finally, the language used in the specification has been principally selected for readability and instructional purposes, and it may not have been selected to delineate or circumscribe the patent rights. It is therefore intended that the scope of the patent claims be limited not by this detailed description, but rather by any claims issued on applications based thereon. The disclosure of the embodiments is, therefore, intended to be illustrative, but not limiting, of the scope of the patent claims, which is set forth in the following claims.

In an embodiment according to the invention, a computer-implemented method may include:

providing captured video data of a local area within a field of view of an image capturing device included in the client device, the video data including one or more users of the online system;

applying one or more models maintained by the client to characteristics of the captured video data;

locating one or more users of an online system included in the captured video data;

transmitting the video data to an online system;

receiving information from an online system identifying a user of interest within the captured video data;

modifying one or more parameters of the image capture device to modify video data subsequently captured by the image capture device, cropping or scaling a portion of the video data that includes the user of interest to more significantly include the user of interest; and

video data subsequently captured by the image capture device using the modified one or more parameters is sent to the online system.

Modifying one or more parameters of the image capture device to modify video data subsequently captured by the image capture device, cropping or scaling the portion of the video data that includes the user of interest to more significantly include the user of interest, may include:

The magnification of the portion of the video data subsequently captured by the image capturing device including the user of interest is increased.

the video data subsequently captured by the image capture device is modified to remove one or more portions of the video data subsequently captured by the image capture device that do not include the user of interest.

identifying a user of interest in video data captured by an image capture device; and

the focus of the image capturing device is repositioned to the interested user.

Identifying a user of interest in video data captured by an image capture device may include:

one or more facial recognition models are applied to identify users of interest in video data captured by an image capture device.

a chromaticity diagram is extracted from the portion of the captured video data that includes the user of interest.

receiving instructions from the online system to modify the additional video data captured by the image capture device; and

one or more parameters of the image capture device are modified in response to the received instructions.

Modifying one or more parameters of the image capture device in response to the received instructions may include:

the image capture device is repositioned as the user of interest moves within the field of view of the image capture device.

applying one or more models to video data subsequently captured by the image capture device, the one or more models identifying movements of a user of interest; and

the field of view of the image capture device is modified based on the identified movement of the user of interest.

receiving, at the online system, video data of a local area within a field of view of an image capture device included in the client device, the video data including one or more users of the online system;

retrieving information identifying one or more users of an online system included in the video data;

identifying a viewing user of the online system;

transmitting the video data and information identifying one or more users of the online system included in the video data to additional client devices associated with the viewing user;

receiving information from the additional client device identifying a user of interest among one or more users of the online system included in the video data;

transmitting information identifying the user of interest to the client device;

receiving additional video data captured by an image capture device of a client device, the additional video data including portions of the user of interest that have been cropped or scaled to more prominently display the user of interest; and

additional video data is sent to the additional client device.

Retrieving information identifying one or more users of an online system included in video data may include:

identifying users of the online system included in the online system that are connected to the viewing user via the online system; and

information is retrieved that identifies a user included in the online system that is related to the online system of the viewing user via the online system.

information is generated that identifies users of the online system included in the video data that visually distinguishes users included in the video data that are connected to the viewing user via the online system from users included in the video data that are not connected to the viewing user via the online system.

determining an affinity of a viewing user for each user of an online system included in the video data; and

Information identifying each user of the online system included in the video data is generated based on the affinity of the viewing user for each user of the online system included in the video data.

Generating information identifying each user of the online system included in the video data based on the affinity of the viewing user for each user of the online system included in the video data may include:

information is generated that identifies each user of the online system for which the viewing user has at least a threshold affinity that is included in the video data.

ranking users of the online systems included in the video data based on their affinities for users of the online systems included in the video data; and

information is generated that identifies each user of the online system included in the video data that has at least a threshold location in the ranking.

Receiving, at the online system, from the additional client device, instructions to modify video data captured by an image capture device of the client device;

sending an instruction to a client device;

receiving, from the client device, additional video data captured by the image capture device based on the instructions; and

additional video data is sent from the online system to the additional client device.

In an embodiment according to the invention, a computer program product comprising a computer readable storage medium having instructions encoded thereon, which, when executed by a processor, may cause the processor to:

transmitting the video data to an online system;

The focus of the image capturing device is repositioned to the interested user.

In an embodiment according to the present invention, one or more computer-readable non-transitory storage media may embody software that, when executed, is operable to perform a method according to the present invention or any of the above-mentioned embodiments.

In an embodiment according to the present invention, a system may include: one or more processors; and at least one memory coupled to the processor and including instructions executable by the processor, the processor when executing the instructions being operable to perform a method according to the invention or any of the above-mentioned embodiments.

In an embodiment according to the invention, a computer program product, preferably comprising a computer readable non-transitory storage medium, may be operable when executed on a data processing system to perform a method according to the invention or any of the above mentioned embodiments.

In an embodiment according to the invention, a method, in particular a computer-implemented method, may comprise:

maintaining, at the client device, one or more models, each model applying one or more rules to determine which portion of the body of a user of the online system is located in video data captured by the image capturing device based on characteristics of the video data captured by the image capturing device of the client device;

Providing captured video data of a local area within a field of view of an image capturing device included in the client device;

locating a user included in the captured video data;

applying one or more of the maintained models to the captured video data;

modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on the application of the one or more models; and

the modified video data is sent to an online system.

Modifying video data captured by the image capture device to crop or scale portions of the video data including one or more portions of the user based on the application of the one or more models may include:

identifying joints of a user's body; and

video data captured by the image capture device is modified to include joints corresponding to different portions of the user's body based on one or more rules included in the one or more models.

Based on the application of one or more rules included in the one or more models, the video data is modified to include one or more items selected from the group consisting of: the user's head, the user's torso, the user's whole body, and any combination thereof.

The one or more rules may be based on one or more selected from the group consisting of: content of video data previously captured by the image capture device, movement of a user in the video data previously captured by the image capture device, and any combination thereof.

determining from application of the one or more models that the user is gesturing towards an object in the local region; and

the magnification of the image capture device is reduced such that the additional video data captured by the image capture device includes the user and the object toward which the user is gesturing.

Determining from application of one or more models that a user is holding objects in a local region; and

changing the focus of the image capturing device to the object and increasing the magnification of the image capturing device.

one or more parameters of the image capture device that affect a field of view of the image capture device are modified based on the application of the one or more models.

The parameters of the image capturing device may include a magnification of the image capturing device.

video data captured by the image capture device is modified to modify the magnification of the portion of the captured video data that includes the identified user.

Locating a user included in the captured video data may include:

receiving information identifying a user from an online system; and

Based on the received information, a portion of the video data captured by the image capture device that includes the identified user is identified.

maintaining, at the client device, one or more models, each model applying one or more rules to determine which portion of the user's body is located in the video data captured by the image capturing device based on characteristics of the video data captured by the image capturing device of the client device;

locating a user included in the captured video data;

applying one or more of the maintained models to the captured video data;

the modified video data is sent to an online system.

identifying joints of a user's body; and

video data captured by the image capturing device is modified to modify the magnification of the portion of the captured video data that includes the user.

Locating a user included in the captured video data may include:

receiving information identifying a user from an online system; and

maintaining, at the client device, one or more models, each model applying one or more rules to locate users in video data captured by an image capture device of the client device, and determining that one or more located users are displayed in the captured video data;

locating a plurality of users in the captured video data;

applying one or more of the maintained models to the captured video data;

modifying the captured video data based on application of the one or more maintained models to display the one or more located users; and

the modified video data is sent from the client device to the online system.

Modifying the captured video data to display the one or more located users based on the application of the one or more maintained models may include:

modifying one or more parameters of the image capture device based on application of the one or more maintained models; and

additional video data of the local area is captured using the modified one or more parameters of the image capture device.

determining a location of gaze orientation of the located user within the captured video data from application of one or more maintained models; and

the focus of the image capturing device is modified to at least a threshold number of the located users towards which their gaze is directed.

determining a distance between different users located within the captured video data; and

the focus of the image capturing device is modified such that the additional captured video data includes users that are within a threshold distance of each other.

capturing audio data via an audio capturing device included in the client device;

determining an audio data source within the local area by applying one or more of the maintained models to the captured audio data and the captured video data;

determining that the audio data source within the local area is a user; and

in response to determining that the audio data source within the localized area is a user, a focus of the image capture device is modified to the audio data source.

identifying movement of the located user from application of one or more maintained models; and

the field of view of the image capture device is modified based on the identified movement of the located user.

Identifying the movement of the located user from the application of the one or more maintained models may include:

the user positioned is identified as being gesturing toward an object that is included in the localized area.

Modifying the field of view of the image capture device may include:

the magnification of the image capture device is reduced such that the additional video data captured by the image capture device includes the positioned user and the object toward which the positioned user is gesturing.

an object in the localized region is determined from application of one or more maintained models that is being held by the located user.

Modifying the field of view of the image capture device may include:

the focus of the image capturing apparatus is changed to the subject and the magnification of the image capturing apparatus is increased.

the captured video data is modified such that each positioned user is presented within the captured video data for at least a threshold amount of time at least one set of threshold sizes.

the captured video data is modified such that each positioned user is presented within the captured video data for at least a threshold amount of time.

identifying a face of a user within the captured video data from application of one or more maintained models;

the captured video data is modified to remove portions of the captured video data that do not include the user's face.

the captured video data is modified to include each of the located users.

the captured video data is stabilized by applying one or more maintained models.

comparing the located user within the captured video data with stored data describing the user included in the captured video data, the stored data describing the video data that the user has previously been presented with at least one set of threshold sizes; and

In response to the comparison determining that the identified user does not match a user included in the captured video data that has previously been presented with the captured video data in at least one set of threshold sizes, the captured video data is modified to significantly present the located person.

maintaining, at the client device, one or more models, each model applying one or more rules to locate users in video data captured by an image capturing device of the client device, and determining, based on characteristics of the video data, that one or more located users are displayed in the captured video data;

capturing video data of a local area within a field of view of an image capturing device included in the client device;

locating a plurality of users in the captured video data;

applying one or more of the maintained models to the captured video data;

The modified video data is sent from the client device to the online system.

the focus of the image capturing device is modified to be at least a threshold number of the located persons towards which the gaze of the identified person is directed.

the focus of the image capturing device is modified such that the additional captured video data includes persons within a threshold distance of each other.

determining that the audio data source within the local area is a localized user; and

in response to determining that the audio data source within the localized area is a localized user, the focus of the image capture device is modified to the audio data source.

Claims

1. A computer-implemented method, comprising:

maintaining, at a client device, one or more models, each model applying one or more rules to determine which portion of a body of a user of an online system is located in video data captured by an image capturing device of the client device based on characteristics of the video data captured by the image capturing device;

providing captured video data of a local area within a field of view of the image capturing device included in a client device;

locating a user included in the captured video data;

applying the maintained one or more models to the captured video data; and

based on the application of the one or more models, video data captured by the image capture device is modified to crop or scale portions of the video data that include one or more portions of the user.

2. The computer-implemented method of claim 1, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on the application of the one or more models comprises:

Identifying joints of the user's body; and

3. The computer-implemented method of claim 1 or claim 2, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on application of the one or more models comprises:

4. The computer-implemented method of any of claims 1-3, wherein the one or more rules are based on one or more selected from the group consisting of: content of video data previously captured by the image capture device, movement of the user in the video data previously captured by the image capture device, and any combination thereof.

5. The computer-implemented method of any of claims 1 to 4, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on application of the one or more models comprises:

6. The computer-implemented method of any of claims 1 to 5, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on application of the one or more models comprises:

determining from application of the one or more models that the user is holding an object in the local region; and

7. The computer-implemented method of any of claims 1 to 6, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on application of the one or more models comprises:

8. The computer-implemented method of claim 7, wherein the parameter of the image capture device comprises a magnification of the image capture device.

9. The computer-implemented method of any of claims 1 to 8, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on application of the one or more models comprises:

10. The computer-implemented method of any of claims 1 to 9, wherein locating a user included in the captured video data comprises:

Receiving information identifying the user from the online system; and

11. A computer-readable storage medium having instructions encoded thereon that, when executed by a processor, cause the processor to:

maintaining, at a client device, one or more models, each model applying one or more rules to determine which portion of a user's body is located in video data captured by an image capturing device of the client device based on characteristics of the video data captured by the image capturing device;

locating a user included in the captured video data;

applying the maintained one or more models to the captured video data; and

12. The computer-readable storage medium of claim 11, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on the application of the one or more models comprises:

identifying joints of the user's body; and

13. The computer-readable storage medium of claim 11 or claim 12, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on application of the one or more models comprises:

14. The computer-readable storage medium of claim 13, wherein the one or more rules are based on one or more selected from the group consisting of: content of video data previously captured by the image capture device, movement of the user in the video data previously captured by the image capture device, and any combination thereof.

15. The computer-readable storage medium of any of claims 11-14, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on application of the one or more models comprises:

16. The computer-readable storage medium of any of claims 11-15, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on application of the one or more models comprises:

17. The computer-readable storage medium of any of claims 11-16, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on application of the one or more models comprises:

18. The computer-readable storage medium of claim 17, wherein the parameter of the image capture device comprises a magnification of the image capture device.

19. The computer-readable storage medium of any of claims 11-18, wherein modifying video data captured by the image capture device to crop or scale portions of the video data that include one or more portions of the user based on application of the one or more models comprises:

Modifying video data captured by the image capture device to modify a magnification of a portion of the captured video data that includes the user.

20. The computer-readable storage medium of any of claims 11 to 19, wherein locating a user included in the captured video data comprises:

receiving information identifying the user from the online system; and