Abstract: Systems and methods are provided for receiving, at a first computing device, a request from a user to activate a new media collection, sending, by the first computing device, the request to a server computer for activation of the new media collection, receiving, by the first computing device, confirmation that the new media collection was activated, receiving, at the first computing device, a plurality of content messages associated with the new media collection, receiving, at the first computing device, from the user, a selection of the plurality of content messages to be included in the new media collection, sending, to the server computer, an indication of the selection of the content messages to be included in the new media collection, wherein the server computer causes the selection of content messages to be included in the new media collection and displayed in response to a request from at least a second computing device to view the new media collection.

Abstract: Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system receives a plurality of content communications from a plurality of client devices, each content communication comprising an associated piece of content and a corresponding metadata. Each content communication is processed to determine associated context values for each piece of content, each associated context value comprising at least one content value generated by machine vision processing of the associated piece of content. A first content collection is automatically generated based on context values, and a set of user accounts are associated with the collection. An identifier associated with the first content collection is published to user devices associated with user accounts. In various additional embodiments, different content values, image processing operations, and content selection operations are used to curate content collections.

Abstract: Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system receives a content message from a first content source, and analyzes the content message to determine one or more quality scores and one or more content values associated with the content message. The server computer system analyzes the content message with a plurality of content collections of the database to identify a match between at least one of the one or more content values and a topic associated with at least a first content collection of the one or more content collections and automatically adds the content message to the first content collection based at least in part on the match. In various embodiments, different content values, image processing operations, and content selection operations are used to curate content collections.

Abstract: Disclosed herein are arrangements that facilitate the transfer of knowledge from models for a source data-processing domain to models for a target data-processing domain. A convolutional neural network space for a source domain is factored into a first classification space and a first reconstruction space. The first classification space stores class information and the first reconstruction space stores domain-specific information. A convolutional neural network space for a target domain is factored into a second classification space and a second reconstruction space. The second classification space stores class information and the second reconstruction space stores domain-specific information. Distribution of the first classification space and the second classification space is aligned.

Abstract: Systems and methods are provided for receiving, at a first computing device, a user-provided request to activate a new media collection, sending, by the first computing device, the request to a server computer to activate the new media collection, receiving, by the first computing device, confirmation that the new media collection was activated, receiving, at the first computing device, a plurality of content messages associated with the new media collection, receiving, at the first computing device, a user-provided selection of the plurality of content messages for inclusion in the new media collection, sending, to the server computer, an indication of the selection of the content messages for inclusion in the new media collection, wherein the server computer causes the selection of content messages to be included in the new media collection and displayed responsive to a request from at least a second computing device to view the new media collection.

Abstract: Systems and methods are described for determining that the user interaction with a display of a computing device during display of a video comprising a sequence of frames indicates a region of interest in a current frame of the sequence of frames of the displayed video. For each frame of the sequence of frames after the current frame, the frame is cropped to generate a cropped frame comprising a portion of the frame including the region of interest in the frame, the cropped frame is enlarged based on a display size corresponding to an angle or orientation of the computing device during display of the video, and the enlarged cropped frame replaces the frame such that the enlarged cropped frame is displayed in the sequence of frames of the video on the display of the computing device instead of the frame.

Abstract: Systems and methods are described for determining a first media item related to an event, of a plurality of stored media items each comprising video content related to the event, that was captured in a device orientation corresponding to a first device orientation detected for the first computing device; providing, to the first computing device, the first media item to be displayed on the first computing device; in response to a detected change to a second device orientation for the first computing device, determining a second media item that was captured in a device orientation corresponding to the second device orientation detected for the first computing device; and providing, to the first computing device, the second media item to be displayed on the first computing device.

Abstract: Systems and methods are described for determining that the user interaction with a display of a computing device during display of a video comprising a sequence of frames indicates a region of interest in a current frame of the sequence of frames of the displayed video. For each frame of the sequence of frames after the current frame, the frame is cropped to generate a cropped frame comprising a portion of the frame including the region of interest in the frame, the cropped frame is enlarged based on a display size corresponding to an angle or orientation of the computing device during display of the video, and the enlarged cropped frame replaces the frame such that the enlarged cropped frame is displayed in the sequence of frames of the video on the display of the computing device instead of the frame.

Abstract: Systems, devices, media, and methods are presented for modeling facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial features within the portion of the face. The systems and methods generate a descriptor function representing the set of facial features, fit object functions of the descriptor function, identify an identification probability for each facial feature, and assign an identification to each facial feature.

Abstract: Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system receives a content message from a first content source, and analyzes the content message to determine one or more quality scores and one or more content values associated with the content message. The server computer system analyzes the content message with a plurality of content collections of the database to identify a match between at least one of the one or more content values and a topic associated with at least a first content collection of the one or more content collections and automatically adds the content message to the first content collection based at least in part on the match. In various embodiments, different content values, image processing operations, and content selection operations are used to curate content collections.

Abstract: Systems and methods are described for determining a first media item related to an event, of a plurality of stored media items each comprising video content related to the event, that was captured in a device orientation corresponding to a first device orientation detected for the first computing device; providing, to the first computing device, the first media item to be displayed on the first computing device; in response to a detected change to a second device orientation for the first computing device, determining a second media item that was captured in a device orientation corresponding to the second device orientation detected for the first computing device; and providing, to the first computing device, the second media item to be displayed on the first computing device.

Abstract: Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system receives a plurality of content communications from a plurality of client devices, each content communication comprising an associated piece of content and a corresponding metadata. Each content communication is processed to determine associated context values for each piece of content, each associated context value comprising at least one content value generated by machine vision processing of the associated piece of content. A first content collection is automatically generated based on context values, and a set of user accounts are associated with the collection. An identifier associated with the first content collection is published to user devices associated with user accounts. In various additional embodiments, different content values, image processing operations, and content selection operations are used to curate content collections.

Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.

Abstract: Systems and methods are provided for receiving, at a server computer, a plurality of content messages from a plurality of content sources, each content message comprising media content and associated with a predetermined media collection, for each of the plurality of content messages received, analyzing each of the plurality of content messages to determine a quality score for each of the plurality of content messages, and storing each of the plurality of content messages in a database along with the quality score for each of the plurality of content messages.

Abstract: Certain embodiments involve learning features of content items (e.g., images) based on web data and user behavior data. For example, a system determines latent factors from the content items based on data including a user's text query or keyword query for a content item and the user's interaction with the content items based on the query (e.g., a user's click on a content item resulting from a search using the text query). The system uses the latent factors to learn features of the content items. The system uses a previously learned feature of the content items for iterating the process of learning features of the content items to learn additional features of the content items, which improves the accuracy with which the system is used to learn other features of the content items.

Abstract: Systems and methods are provided for receiving, at a server computer, a plurality of content messages from a plurality of content sources, each content message comprising media content and associated with a predetermined media collection, for each of the plurality of content messages received, analyzing each of the plurality of content messages to determine a quality score for each of the plurality of content messages, and storing each of the plurality of content messages in a database along with the quality score for each of the plurality of content messages.

Abstract: A compact neural network system can generate multiple individual filters from a compound filter. Each convolutional layer of a convolutional neural network can include a compound filters used to generate individual filters for that layer. The individual filters overlap in the compound filter and can be extracted using a sampling operation. The extracted individual filters can share weights with nearby filters thereby reducing the overall size of the convolutional neural network.

Abstract: Systems, devices, media, and methods are presented for identifying and categorically labeling objects within a set of images. The systems and methods receive an image depicting an object of interest, detect at least a portion of the object of interest within the image using a multilayer object model, determine context information, and identify the object of interest included in two or more bounding boxes.

Abstract: A mobile device can generate real-time complex visual image effects using asynchronous processing pipeline. A first pipeline applies a complex image process, such as a neural network, to keyframes of a live image sequence. A second pipeline generates flow maps that describe feature transformations in the image sequence. The flow maps can be used to process non-keyframes on the fly. The processed keyframes and non-keyframes can be used to display a complex visual effect on the mobile device in real-time or near real-time.

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can he assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented. using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.