Snap Inc.

Avatar Merger Sub Ii, LLC

Other

Victor Shaburov

Yurii Monastyrshyn

Ivan Semenov

Alexander Mashrabov

Jeremy Baker Voss

Grygoriy Kozhemiak

Trevor Stephenson

Oleksandr Pyshchenko

Dmitriy Matov

Dhritiman Sagar

Eitan Pilipski

Elena Shaburova

Jokubas Dargis

Roman Golobokov

Grigoriy Tkachenko

Ebony James Charlton

Aleksandr Mashrabov

Sofia Savinova

Aleksei Stoliar

Sergei Kotcur

Diana Maximova

Alina Berezhko

Alexey Pchelnikov

Hanna Rulevska

Dmytro Ishchenko

Yurii Monastyrshin

Ivan Babanin

Dmitry Matov

Andrew Osipov

Oleksandr Pyschchenko

Roman Golobkov

Aleksei Bromot

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.

Virtual vision system

A personalized preview system to receive a request to access a collection of media items from a user of a user device. Responsive to receiving the request to access the collection of media items, the personalized preview system accesses user profile data associated with the user, wherein the user profile data includes an image. For example, the image may comprise a depiction of a face, wherein the face comprises a set of facial landmarks. Based on the image, the personalized preview system generates one or more media previews based on corresponding media templates and the image, and displays the one or more media previews within a presentation of the collection of media items at a client device of the user.

Personalized media preview interface

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.

Emotion recognition for workforce analytics

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.

Generating personalized videos with customized text messages

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.

Personalized videos

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.

Customizing soundtracks and hairstyles in modifiable videos of multimedia messaging application

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.

Generating interactive messages with asynchronous media content

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.

Template-based generation of personalized videos

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.

Object modeling and replacement in a video stream

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.

Searching and ranking modifiable videos in multimedia messaging application

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.

Emotion recognition in video conferencing

Systems and methods are provided for receiving a first media content item associated with a first interactive object of an interactive message, receiving a second media content item associated with a second interactive object of the interactive message, generating a third media content item based on the first media content item and second media content item, wherein the third media content item comprises combined features of the first media content item and the second media content item, and causing display of the generated third media content item.

Provided are systems and methods for personalized videos featuring multiple persons. An example method includes receiving a user selection of a video having at least one frame with metadata that include a first location and a second location and receiving an image of a source face and a further image of a further source face, modifying the image of the source face to generate an image of a modified source face and modifying the further image of the further source face to generate an image of a modified further source face, inserting, in the at least one frame of the video, the image of the modified source face at the first location and the image of the modified further source face at the second location to generate a personalized video, and sending the personalized video via a communication chat.

Growing community of inventors

Castro Valley, CA, United States of America

Victor Shaburov