Abstract: A context based augmented reality system can be used to display augmented reality elements over a live video feed on a client device. The augmented reality elements can be selected based on a number of context inputs generated by the client device. The context inputs can include location data of the client device and location data of nearby physical places that have preconfigured augmented elements. The preconfigured augmented elements can be preconfigured to exhibit a design scheme of the corresponding physical place.

Abstract: Methods and systems for videoconferencing include generating work quality metrics based on emotion recognition of an individual such as a call center agent. The work quality metrics allow for workforce optimization. One example method includes the steps of receiving a video including a sequence of images, detecting an individual in one or more of the images, locating feature reference points of the individual, aligning a virtual face mesh to the individual in one or more of the images based at least in part on the feature reference points, dynamically determining over the sequence of images at least one deformation of the virtual face mesh, determining that the at least one deformation refers to at least one facial emotion selected from a plurality of reference facial emotions, and generating quality metrics including at least one work quality parameter associated with the individual based on the at least one facial emotion.

Abstract: Provided are systems and methods for customizing modifiable videos. An example method includes analyzing recent messages associated with a user in a multimedia messaging application to determine a context of the recent messages, determining, based on the context, a property of a modifiable feature, selecting, based on the context, a list of relevant modifiable videos from a database configured to store modifiable videos associated with a preset modifiable feature, replacing a property of the preset modifiable feature in relevant modifiable videos of the list of relevant modifiable videos with the property of the modifiable feature, and rendering the list of relevant modifiable videos for viewing by the user, where the rendering includes displaying the modifiable feature in the relevant modifiable videos.

Abstract: Described are systems and methods for generating personalized videos with customized text messages. An example method includes receiving an input text, a video template including a sequence of frame images, and at least one parameter for animation of the input text across the sequence of frame images, generating, based on the input text and the at least one parameter for animation, a configuration file including a text style for the input text for a frame in the sequence of frame images, and rendering, based on the configuration file, an output frame of an output video, where the output frame includes the frame in the sequence of frame images and a layer, and where the layer includes the input text stylized based on the text style. The method further includes providing an option enabling a user to change the at least one parameter for animation.

Abstract: Methods and systems for videoconferencing include generating work quality metrics based on emotion recognition of an individual such as a call center agent. The work quality metrics allow for workforce optimization. One example method includes the steps of receiving a video including a sequence of images, detecting an individual in one or more of the images, locating feature reference points of the individual, aligning a virtual face mesh to the individual in one or more of the images based at least in part on the feature reference points, dynamically determining over the sequence of images at least one deformation of the virtual face mesh, determining that the at least one deformation refers to at least one facial emotion selected from a plurality of reference facial emotions, and generating quality metrics including at least one work quality parameter associated with the individual based on the at least one facial emotion.

Abstract: A system for customizing modifiable videos of a multimedia messaging application (MMA) is provided. In one example embodiment, the system includes at least one processor and a memory storing processor-executable codes, wherein the at least one processor is configured to analyze recent messages of a user to determine a context of the recent messages; determine, based on the context, a customized feature; select, based on the context, a list of relevant modifiable videos from a database configured to store modifiable videos, the modifiable videos being associated with a preset modifiable feature; replace the preset modifiable feature in the relevant modifiable videos with the customized feature; and render a modifiable video from the list of relevant modifiable videos for viewing by the user, the rendering including displaying the customized feature in the relevant modifiable videos.

Abstract: Systems and methods for providing personalized videos are provided. An example method includes receiving preprocessed videos including a target face and facial expression parameters of the target face, modifying the preprocessed videos to generate one or more personalized videos by replacing the target face with a source face, where the source face is modified to adopt the facial expression parameters of the target face, providing a user interface enabling a user to share at least one personalized video of the one or more personalized videos with a further user of a further computing device, determining that an application to be used to share the personalized video does not allow auto-play of the personalized video in a video format, in response the determination, exporting the personalized video of the one or more personalized videos into an image file, and sharing the image file via the application.

Abstract: Described are systems and methods for generating personalized videos with customized text messages. An example method commences with receiving an input text and a video template. The video template includes a sequence of frame images and text parameters defining an animation of the input text for the sequence of frame images. The method continues with rendering an output video. The output video includes the sequence of frame images featuring the input text rendered according to the text parameters. The method further includes providing a user with an option to change at least one text parameter of the text parameters. The method continues with dynamically changing, by the at least one computing resource, the input text according to the at least one text parameter. The method further includes providing, by the at least one computing resource, the output video to at least one further computing resource via a communication chat.

Abstract: Systems and methods for searching and ranking videos are provided. An example method includes receiving an input from a user via a multimedia messaging application (MMA), selecting, from a database configured to store videos, a subset of videos based on the input and a predetermined rule, rendering, via the MMA, the subset of videos, determining that the user has viewed a video from the subset of videos, determining whether the user has shared, via the MMA, the viewed video, updating a log based on information concerning the subset of videos and the viewed video, and updating, based on the log, a model of the predetermined rule for selecting the videos. The model is trained based on pairs of first videos and second videos, where the first videos have been viewed and shared by the user and the second videos have been viewed but not shared by the user.

Abstract: Disclosed are systems and methods for personalized videos. An example method include receiving, by a computing device, preprocessed videos including a target face, providing, by the computing device, a first user interface enabling a user to generate an image of a source face, modifying, by the computing device, the preprocessed videos to generate one or more personalized videos by replacing the target face with the source face, the source face being modified to adopting a facial expression of the target face, and providing, by the computing device, a second user interface to select the one or more personalized videos.

Abstract: Disclosed are systems and methods for template-based generation of personalized videos. An example method includes receiving a sequence of frame images, face area parameters corresponding to positions of a face area in a frame image of the sequence of frame images, and facial landmark parameters corresponding to the frame image of the sequence of frame images, receiving an image of a source face, modifying, based on the facial landmark parameters corresponding to the frame image, the image of the source face to obtain a further face image featuring the source face adopting a facial expression corresponding to the facial landmark parameters, and inserting the further face image into the frame image at a position determined by the face area parameters corresponding to the frame image, thereby generating an output frame of an output video.

Abstract: Disclosed are systems and methods for customizing soundtracks and hairstyles in modifiable videos of multimedia messaging application. An example method includes determining, by a computing device, that a user has provided an instruction to select automatically, based on parameters of a modifiable video, a selfie image for insertion into the modifiable video, where the selfie image is selected from a set of pre-generated selfie images associated with hairstyles, in response to the determination, selecting, by the computing device and based on the parameters of the modifiable video, the selfie image from the set of pre-generated selfie images, and generating, by the computing device and based on the selfie image of the user and the modifiable video, a personalized video of the user, where the personalized video includes at least a part of the selfie image and at least a part of the modifiable video.

Abstract: Systems and methods are provided for sending serialized data for an interactive message comprising a first session data item to a second computing device to render the interactive message using the first session data item and display the rendered interactive message comprising a first media content item associated with a first interactive object and receiving, from the second computing device, a second media content item associated with a second interactive object of the interactive message. The systems and methods further provided for generating a second session data item for the second interactive object of the interactive message, adding the second session data item to the serialized data, and sending the serialized data to a third computing device to render the interactive message using the serialized data and display the rendered interactive message comprising the first media content item and the second media content item.

Abstract: A context based augmented reality system can be used to display augmented reality elements over a live video feed on a client device. The augmented reality elements can be selected based on a number of context inputs generated by the client device. The context inputs can include location data of the client device and location data of nearby physical places that have preconfigured augmented elements. The preconfigured augmented elements can be preconfigured to exhibit a design scheme of the corresponding physical place.

Abstract: Disclosed are systems and methods for template-based generation of personalized videos. An example method may commence with receiving video configuration data including a sequence of frame images, a sequence of face area parameters defining positions of a face area in the frame images, and a sequence of skin masks defining positions of a skin area of a part of the at least one body in the frame images. The method may continue with receiving an image of a source face. The method may further include determining color data associated with the source face. The method may include recoloring the skin area of the part of the at least one body in the frame image and inserting the image of the source face into the frame image at a position determined by face area parameters corresponding to the frame image to generate an output frame of an output video.

Abstract: Systems and methods are provided for sending serialized data for an interactive message comprising a first session data item to a second computing device to render the interactive message using the first session data item and display the rendered interactive message comprising a first media content item associated with a first interactive object and receiving, from the second computing device, a second media content item associated with a second interactive object of the interactive message. The systems and methods further provided for generating a second session data item for the second interactive object of the interactive message, adding the second session data item to the serialized data, and sending the serialized data to a third computing device to render the interactive message using the serialized data and display the rendered interactive message comprising the first media content item and the second media content item.

Abstract: Systems, devices, and methods are presented for segmenting an image of a video stream with a client device by receiving one or more images depicting an object of interest and determining pixels within the one or more images corresponding to the object of interest. The systems, devices, and methods identify a position of a portion of the object of interest and determine a direction for the portion of the object of interest. Based on the direction of the portion of the object of interest, a histogram threshold is dynamically modified for identifying pixels as corresponding to the portion of the object of interest. The portion of the object of interest is replaced with a graphical interface element aligned with the direction of the portion of the object of interest.

Abstract: A context based augmented reality system can be used to display augmented reality elements over a live video feed on a client device. The augmented reality elements can be selected based on a number of context inputs generated by the client device. The context inputs can include location data of the client device and location data of nearby physical places that have preconfigured augmented elements. The preconfigured augmented elements can be preconfigured to exhibit a design scheme of the corresponding physical place.

Abstract: A system for searching and ranking modifiable videos is provided. In one example embodiment, the system includes a at least one processor and a memory storing processor-executable codes, wherein the at least one processor is configured to implement the following operations upon executing the processor-executable codes: processing a first set of search requests by a first search rule to obtain a first set of first results; processing a second set of search requests by a second search rule to obtain a second set of second results; determining a first metric based, at least partially, on the first set of first results; determining a second metric based at least partially on the second set of second results; selecting, based on the first metric and the second metric, a search rule from the first search rule and the second search rule; and configuring a search engine to apply the search rule.

Abstract: Methods and systems for videoconferencing include recognition of emotions related to one videoconference participant such as a customer. This ultimately enables another videoconference participant, such as a service provider or supervisor, to handle angry, annoyed, or distressed customers. One example method includes the steps of receiving a video that includes a sequence of images, detecting at least one object of interest (e.g., a face), locating feature reference points of the at least one object of interest, aligning a virtual face mesh to the at least one object of interest based on the feature reference points, finding over the sequence of images at least one deformation of the virtual face mesh that reflect face mimics, determining that the at least one deformation refers to a facial emotion selected from a plurality of reference facial emotions, and generating a communication bearing data associated with the facial emotion.