Abstract: Systems, methods, and non-transitory computer-readable media can identify one or more objects depicted in a camera view of a camera application displayed on a display of a user device. An augmented reality overlay is determined based on the one or more objects identified in the camera view. The camera view is modified based on the augmented reality overlay.

Abstract: A canvas generation system generates a canvas view of a scene based on a set of original camera views depicting the scene, for example to recreate a scene in virtual reality. Canvas views can be generated based on a set of synthetic views generated from a set of original camera views. Synthetic views can be generated, for example, by shifting and blending relevant original camera views based on an optical flow across multiple original camera views. An optical flow can be generated using an iterative method which individually optimizes the optical flow vector for each pixel of a camera view and propagates changes in the optical flow to neighboring optical flow vectors.

Abstract: An image processing system transforms content images into the style of another reference style image. For example, the system applies a noise mask to generate noisy versions of the content images. The system then recomposes a content image in the style of a reference image by applying computer models to the noisy version of the content image, which reduces artifacts in the stylized image compared to that of a stylized image generated by applying the computer models to the original content image. When the content images are part of a video sequence, the image processing system may adjust the noise mask applied in a subsequent frame such that it tracks the movement of the client device from the current frame to the subsequent frame. This allows the system to reduce artifacts while stylizing the frames of the video in a consistent manner.

Abstract: An image processing system transforms content images into the style of another reference style image. For example, the system applies a noise mask to generate noisy versions of the content images. The system then recomposes a content image in the style of a reference image by applying computer models to the noisy version of the content image, which reduces artifacts in the stylized image compared to that of a stylized image generated by applying the computer models to the original content image. When the content images are part of a video sequence, the image processing system may adjust the noise mask applied in a subsequent frame such that it tracks the movement of the client device from the current frame to the subsequent frame. This allows the system to reduce artifacts while stylizing the frames of the video in a consistent manner.

Abstract: A canvas generation system generates a canvas view of a scene based on a set of original camera views depicting the scene, for example to recreate a scene in virtual reality. Canvas views can be generated based on a set of synthetic views generated from a set of original camera views. Synthetic views can be generated, for example, by shifting and blending relevant original camera views based on an optical flow across multiple original camera views. An optical flow can be generated using an iterative method which individually optimizes the optical flow vector for each pixel of a camera view and propagates changes in the optical flow to neighboring optical flow vectors.

Abstract: Systems, methods, and non-transitory computer-readable media can identify one or more objects depicted in a camera view of a camera application displayed on a display of a user device. An augmented reality overlay is determined based on the one or more objects identified in the camera view. The camera view is modified based on the augmented reality overlay.

Abstract: Systems, methods, and non-transitory computer readable media can determine a placement in a camera view for displaying an augmented reality (AR) advertisement, where the camera view is associated with a computing device. An AR advertisement for a user associated with the computing device can be determined based on attributes associated with the user. Display of the AR advertisement can be caused at the determined placement in the camera view.

Abstract: Systems, methods, and non-transitory computer readable media can obtain image data from a camera view associated with a computing device, where the image data is associated with an interior space. A portion of the image data for displaying one or more augmented reality (AR) content items can be determined. An AR content item to display in the camera view can be determined. The AR content item can be provided for presentation in the camera view based on the determined portion of the image data.

Abstract: Systems, methods, and non-transitory computer-readable media can identify a first user depicted in image content captured by a second user. It is determined that the first user should be obscured in the image content based on privacy settings. The image content is modified to obscure the first user.

Abstract: A canvas generation system generates a canvas view of a scene based on a set of original camera views depicting the scene, for example to recreate a scene in virtual reality. Canvas views can be generated based on a set of synthetic views generated from a set of original camera views. Synthetic views can be generated, for example, by shifting and blending relevant original camera views based on an optical flow across multiple original camera views. An optical flow can be generated using an iterative method which individually optimizes the optical flow vector for each pixel of a camera view and propagates changes in the optical flow to neighboring optical flow vectors.

Abstract: A canvas generation system generates a canvas view of a scene based on a set of original camera views depicting the scene, for example to recreate a scene in virtual reality. Canvas views can be generated based on a set of synthetic views generated from a set of original camera views. Synthetic views can be generated, for example, by shifting and blending relevant original camera views based on an optical flow across multiple original camera views. An optical flow can be generated using an iterative method which individually optimizes the optical flow vector for each pixel of a camera view and propagates changes in the optical flow to neighboring optical flow vectors.

Abstract: A canvas generation system generates a canvas view of a scene based on a set of original camera views depicting the scene, for example to recreate a scene in virtual reality. Canvas views can be generated based on a set of synthetic views generated from a set of original camera views. Synthetic views can be generated, for example, by shifting and blending relevant original camera views based on an optical flow across multiple original camera views. An optical flow can be generated using an iterative method which individually optimizes the optical flow vector for each pixel of a camera view and propagates changes in the optical flow to neighboring optical flow vectors.

Abstract: A method is provided to edit a display screen of a zooming user interface system; the method includes receiving a user request to transform a set of display elements that are displayed on a display screen encompassed by a frame; in response to the user request an information structured is produced in a non-transitory storage device that indicates each display element of the set of display elements that is displayed on the display screen encompassed by the frame; each display element indicated by the information structure is transformed according to the user request.

Abstract: Systems and methods are described that can provide users with personalized video content feeds. In several embodiments, a multi-modal segmentation process is utilized that relies upon cues derived from video, audio and/or text data present in a video data stream. In a number of embodiments, video streams from a variety of sources are segmented. Links are identified between video segments and between video segments and online articles containing additional information relevant to the video segments. The additional information obtained by linking a video segment to an additional source of data can be utilized in the generation of personalized playlists. In the context of news programming, the dynamic mixing and aggregation of news videos from multiple sources can greatly enrich the news watching experience. In several embodiments, processes for linking video segments to additional sources of data can be implemented as part of a video search engine service.

Abstract: Next-generation media consumption is likely to be more personalized, device agnostic, and pooled from many different sources. Systems and methods in accordance with embodiments of the invention can provide users with personalized video content feeds providing the video content that matters most to them. In several embodiments, a multi-modal segmentation process is utilized that relies upon cues derived from video, audio and/or text data present in a video data stream. In a number of embodiments, video streams from a variety of sources are segmented. Links are identified between video segments and between video segments and online articles containing additional information relevant to the video segments. In many embodiments, video clips from video segments can be ordered and concatenated based on importance in order to generate news briefs.

Abstract: A method is provided to edit a display screen of a zooming user interface system; the method includes receiving a user request to transform a set of display elements that are displayed on a display screen encompassed by a frame; in response to the user request an information structured is produced in a non-transitory storage device that indicates each display element of the set of display elements that is displayed on the display screen encompassed by the frame; each display element indicated by the information structure is transformed according to the user request.

Abstract: Systems and methods are described that can provide users with personalized video content feeds. In several embodiments, a multi-modal segmentation process is utilized that relies upon cues derived from video, audio and/or text data present in a video data stream. In a number of embodiments, video streams from a variety of sources are segmented. Links are identified between video segments and between video segments and online articles containing additional information relevant to the video segments. The additional information obtained by linking a video segment to an additional source of data can be utilized in the generation of personalized playlists. In the context of news programming, the dynamic mixing and aggregation of news videos from multiple sources can greatly enrich the news watching experience. In several embodiments, processes for linking video segments to additional sources of data can be implemented as part of a video search engine service.

Abstract: Systems and methods are described that can provide users with personalized video content feeds. In several embodiments, a multi-modal segmentation process is utilized that relies upon cues derived from video, audio and/or text data present in a video data stream. In a number of embodiments, video streams from a variety of sources are segmented. Links are identified between video segments and between video segments and online articles containing additional information relevant to the video segments. The additional information obtained by linking a video segment to an additional source of data can be utilized in the generation of personalized playlists. In the context of news programming, the dynamic mixing and aggregation of news videos from multiple sources can greatly enrich the news watching experience. In several embodiments, processes for linking video segments to additional sources of data can be implemented as part of a video search engine service.

Abstract: Systems and methods are described that can provide users with personalized video content feeds. In several embodiments, a multi-modal segmentation process is utilized that relies upon cues derived from video, audio and/or text data present in a video data stream. In a number of embodiments, video streams from a variety of sources are segmented. Links are identified between video segments and between video segments and online articles containing additional information relevant to the video segments. The additional information obtained by linking a video segment to an additional source of data can be utilized in the generation of personalized playlists. In the context of news programming, the dynamic mixing and aggregation of news videos from multiple sources can greatly enrich the news watching experience. In several embodiments, processes for linking video segments to additional sources of data can be implemented as part of a video search engine service.

Abstract: A method is provided to edit a display screen of a zooming user interface system; the method includes receiving a user request to transform a set of display elements that are displayed on a display screen encompassed by a frame; in response to the user request an information structured is produced in a non-transitory storage device that indicates each display element of the set of display elements that is displayed on the display screen encompassed by the frame; each display element indicated by the information structure is transformed according to the user request.