Abstract: To enable better sharing and preservation of immersive experiences, a graphics system reconstructs a three-dimensional scene from a set of images of the scene taken from different vantage points. The system processes each image to extract depth information therefrom and then stitches the images (both color and depth information) into a multi-layered panorama that includes at least front and back surface layers. The front and back surface layers are then merged to remove redundancies and create connections between neighboring pixels that are likely to represent the same object, while removing connections between neighboring pixels that are not. The resulting layered panorama with depth information can be rendered using a virtual reality (VR) system, a mobile device, or other computing and display platforms using standard rendering techniques, to enable three-dimensional viewing of the scene.

Abstract: Systems, methods, and non-transitory computer readable media are configured to detect a concept reflected in a first media content item to which a user is provided access. It is determined that the concept has a threshold level of relevance to the user. The concept is associated with an element that upon selection causes a transition to a second media content item to which the user is provided access, the second media content item reflecting the concept. The element is presented in the first media content item for the user.

Abstract: Systems, methods, and non-transitory computer-readable media can generate an initial alpha mask for an image based on machine learning techniques. A plurality of uncertain pixels is defined in the initial alpha mask. For each uncertain pixel in the plurality of uncertain pixels, a binary value is assigned based on a nearest certain neighbor determination.

Abstract: Systems, methods, and non-transitory computer readable media are configured to detect a concept reflected in a first media content item to which a user is provided access. It is determined that the concept has a threshold level of relevance to the user. The concept is associated with an element that upon selection causes a transition to a second media content item to which the user is provided access, the second media content item reflecting the concept. The element is presented in the first media content item for the user.

Abstract: Systems, methods, and non-transitory computer readable media are configured to detect a concept reflected in a first media content item to which a user is provided access. It is determined that the concept has a threshold level of relevance to the user. The concept is associated with an element that upon selection causes a transition to a second media content item to which the user is provided access, the second media content item reflecting the concept. The element is presented in the first media content item for the user.

Abstract: Various technologies described herein pertain to generation of an output hyper-lapse video from an input video. A smoothed camera path can be computed based upon the input video. Further, output camera poses can be selected from the smoothed camera path for output frames of the output hyper-lapse video. One or more selected input frames from the input video can be chosen for an output frame. The selected input frames can be chosen based at least in part upon an output camera pose for the output frame. Moreover, the selected input frames can be combined to render the output frame. Choosing selected input frames from the input video and combining the selected input frames can be performed for each of the output frames of the output hyper-lapse video.

Abstract: An image processing system generates 360-degree stabilized videos with higher robustness, speed, and smoothing ability using a hybrid 3D-2D stabilization model. The image processing system first receives an input video data (e.g., a 360-degree video data) for rotation stabilization. After tracking feature points through the input video data, the image processing system determines key frames and estimates rotations of key frames using a 3D reasoning based on the tracked feature points. The image processing system also optimizes inner frames between key frames using a 2D analysis based on the estimated key frame rotation. After the 3D reasoning and the 2D analysis, the image processing system may reapply a smoothed version of raw rotations to preserve desirable rotations included in the original input video data, and generates a stabilized version of the input video data (e.g., a 360-degree stabilized video).

Abstract: Described is a technology by which an image such as a stitched panorama is automatically cropped based upon predicted quality data with respect to filling missing pixels. The image may be completed, including by completing only those missing pixels that remain after cropping. Predicting quality data may be based on using restricted search spaces corresponding to the missing pixels. The crop is computed based upon the quality data, in which the crop is biased towards including original pixels and excluding predicted low quality pixels. Missing pixels are completed by using restricted search spaces to find replacement values for the missing pixels, and may use histogram matching for texture synthesis.

Abstract: An assembly includes a pair of image capture devices that capture 360-degree, stereo cubemap representation images of a scene. A controller generates a representation of the scene by correcting errors caused by placement of the image capture devices relative to each other in the assembly. The controller rotates an image from the image capture device to align objects in the image with objects in an image from the additional image capture device. Additionally, the controller replaces portions of an image from the image capture device including the additional image capture device with portions of an image from the additional image capture device. Additionally, the controller uses optical flow to cancel horizontal disparity and vertical disparity between images captured by the image capture device and by the additional image capture device.

Abstract: A server device and method are provided for use in predictive server-side rendering of scenes based on client-side user input. The server device may include a processor and a storage device holding instructions for an application program executable by the processor to receive, at the application program, a current navigation input in a stream of navigation inputs from a client device over a network, calculate a predicted future navigation input based on the current navigation input and a current application state of the application program, render a future scene based on the predicted future navigation input to a rendering surface, and send the rendering surface to the client device over the network.

Abstract: A head mounted display device including a processor configured to compute a rendered rendering surface of a predicted scene having a predicted user viewpoint, the predicted user viewpoint being a prediction of a viewpoint that a user will have at a point in time that was predicted for the user of the head mounted display device prior to the point in time, receive, from the user input device, a subsequent user navigation input near the point in time in the stream of user input, determine an actual user viewpoint based on the subsequent user navigation input, determine a user viewpoint misprediction based on the predicted user viewpoint and the actual user viewpoint, and reconstruct a viewport for the actual user viewpoint from the rendered rendering surface.

Abstract: A server device and method are provided for use in predictive server-side rendering of scenes based on client-side user input. The server device may include a processor and a storage device holding instructions for an application program executable by the processor to receive, at the application program, a current navigation input in a stream of navigation inputs from a client device over a network, calculate a predicted future navigation input based on the current navigation input and a current application state of the application program, render a future scene based on the predicted future navigation input to a rendering surface, and send the rendering surface to the client device over the network.

Abstract: A client device and method are provided for reconstructing a viewport from a rendered rendering surface of a predicted user viewpoint in order to reduce user perceived latency of the network. The client device may execute instructions to: receive, from a server device over a network, a rendered rendering surface of a predicted scene having a predicted user viewpoint, receive, from the user input device, a subsequent user navigation input in the stream of user input, determine an actual user viewpoint based on the subsequent user navigation input, determine a user viewpoint misprediction based on the predicted user viewpoint and the actual user viewpoint, and reconstruct a viewport for the actual user viewpoint from the rendered rendering surface.

Abstract: A client device and method are provided for use in synthesizing a second eye viewport using interleaving in order to reduce bandwidth costs. The client device may comprise a user input device that receives a stream of user input, a stereoscopic display device, a processor, and a storage device holding instructions for a client application program, executable by the processor to obtain, at a view interpolation module of the client application program, a current rendered rendering surface representing a current view of a scene for a first eye of a user and a previously rendered rendering surface representing a past view of the scene for a second eye of the user, synthesize and display a current second eye viewport representing a current view of the scene for the second eye of the user based on the current rendered rendering surface and the previously rendered rendering surface.

Abstract: A client device and method are provided for use in synthesizing a second eye viewport using interleaving in order to reduce bandwidth costs. The client device may comprise a user input device that receives a stream of user input, a stereoscopic display device, a processor, and a storage device holding instructions for a client application program, executable by the processor to obtain, at a view interpolation module of the client application program, a current rendered rendering surface representing a current view of a scene for a first eye of a user and a previously rendered rendering surface representing a past view of the scene for a second eye of the user, synthesize and display a current second eye viewport representing a current view of the scene for the second eye of the user based on the current rendered rendering surface and the previously rendered rendering surface.

Abstract: A server device and method are provided for use in predictive server-side rendering of scenes based on client-side user input. The server device may include a processor and a storage device holding instructions for an application program executable by the processor to receive, at the application program, a current navigation input in a stream of navigation inputs from a client device over a network, calculate a predicted future navigation input based on the current navigation input and a current application state of the application program, render a future scene based on the predicted future navigation input to a rendering surface, and send the rendering surface to the client device over the network.

Abstract: A client device and method are provided for reconstructing a viewport from a rendered rendering surface of a predicted user viewpoint in order to reduce user perceived latency of the network. The client device may execute instructions to: receive, from a server device over a network, a rendered rendering surface of a predicted scene having a predicted user viewpoint, receive, from the user input device, a subsequent user navigation input in the stream of user input, determine an actual user viewpoint based on the subsequent user navigation input, determine a user viewpoint misprediction based on the predicted user viewpoint and the actual user viewpoint, and reconstruct a viewport for the actual user viewpoint from the rendered rendering surface.

Abstract: Among other things, one or more techniques and/or systems are provided for defining transition zones for navigating a visualization. The visualization may be constructed from geometry of a scene and one or more texture images depicted the scene from various viewpoints. A transition zone may correspond to portions of the visualization that do not have a one-to-one correspondence with a single texture image, but are generated from textured geometry (e.g., a projection of texture imagery onto the geometry). Because a translated view may have visual error (e.g., a portion of the translated view is not correctly represented by the textured geometry), one or more transition zones, specifying translated view experiences (e.g., unrestricted view navigation, restricted view navigation, etc.), may be defined. For example, a snapback force may be applied when a current view corresponds to a transition zone having a relatively higher error.

Abstract: Various technologies described herein pertain to generation of an output hyper-lapse video from an input video. A smoothed camera path can be computed based upon the input video. Further, output camera poses can be selected from the smoothed camera path for output frames of the output hyper-lapse video. One or more selected input frames from the input video can be chosen for an output frame. The selected input frames can be chosen based at least in part upon an output camera pose for the output frame. Moreover, the selected input frames can be combined to render the output frame. Choosing selected input frames from the input video and combining the selected input frames can be performed for each of the output frames of the output hyper-lapse video.

Abstract: One or more techniques and/or systems are provided for generating a panorama packet and/or for utilizing a panorama packet. That is, a panorama packet may be generated and/or consumed to provide an interactive panorama view experience of a scene depicted by one or more input images within the panorama packet (e.g., a user may explore the scene through multi-dimensional navigation of a panorama generated from the panorama packet). The panorama packet may comprise a set of input images may depict the scene from various viewpoints. The panorama packet may comprise a camera pose manifold that may define one or more perspectives of the scene that may be used to generate a current view of the scene. The panorama packet may comprise a coarse geometry corresponding to a multi-dimensional representation of a surface of the scene. An interactive panorama of the scene may be generated based upon the panorama packet.