Abstract: An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to encode surface normals data with point cloud geometry data included in the video bit stream data for reconstruction of objects within the video bit stream data based on the surface normals data and a memory communicatively coupled to the one or more processors.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for multi-symbol equiprobable mode entropy coding. An example apparatus includes equiprobable bypass control circuitry to determine whether an input value associated with the one or more blocks is greater than a reference value. The example apparatus also includes interval control circuitry to, based on the determination, adjust at least one of an upper limit or a lower limit based on an approximate value approximating a product of (1) a quotient of (a) a difference between the alphabet size and one and (b) the alphabet size and (2) the upper limit, the upper limit and the lower limit forming a range of values within which the input value is to be encoded.

Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.

Abstract: Embodiments described herein provide for techniques to reduce the complexity of rendering immersive 3D video content. One embodiment provides for an apparatus comprising one or more processors to receive a data set that represents a two-dimensional encoding of planar projections of a frame of a three-dimensional video, decode the two-dimensional encoding into texture data, geometry data, and metadata, determine, based on the metadata, a visibility status and an occupancy status for a sample position in the three-dimensional video, and render video data for the sample position when the sample position is visible and occupied.

Abstract: A mechanism is described for facilitating defining of interoperability signaling and conformance points for the PCC standard in computing environments. A computing device of embodiments, as described herein, includes a decoder to decode a compressed bitstream of video data representing a point cloud, point cloud reconstructor circuitry to reconstruct a point cloud from the decoded patch video data, a syntax element parser to receive at least one syntax element representing interoperability signaling in the compressed bitstream to indicate the number of points in one or more pictures of the video data, and processing hardware to determine if the number of points in the one or more pictures of the compressed bitstream is within the conformance limits of the point cloud reconstructor circuitry.

Abstract: A mechanism is described for facilitating adaptive resolution and viewpoint-prediction for immersive media in computing environments. An apparatus of embodiments, as described herein, includes one or more processors to receive viewing positions associated with a user with respect to a display, and analyze relevance of media contents based on the viewing positions, where the media content includes immersive videos of scenes captured by one or more cameras. The one or more processors are further to predict portions of the media contents as relevant portions based on the viewing positions and transmit the relevant portions to be rendered and displayed.

Abstract: Embodiments are generally directed to video analytics encoding for improved efficiency of video processing and compression. An embodiment of an apparatus includes a memory to store data, including data for video streaming, and a video processing mechanism, wherein the video processing mechanism is to analyze video data and generate video analytics, generate metadata representing the video analytics and insert the generated video analytics metadata into a message, and transmit the video data and the metadata to a succeeding apparatus or system in a video analytics pipeline, the video data being compressed video data.

Abstract: An embodiment of an image processor for immersive video includes technology to re-order patches from a plurality of views based on one or more of relative position and orientation related information for a desired synthesized view, select a set of views to be used in each view synthesis pass, perform two or more view synthesis passes for the synthesized view to provide two or more intermediate view synthesis results, and mask and merge the two or more intermediate view synthesis results to provide a final view synthesis result. Other embodiments are disclosed and claimed.

Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.

Abstract: Embodiments are generally directed to selective packing of patches for immersive video. An embodiment of a processing system includes one or more processor cores; and a memory to store data for immersive video, the data including a plurality of patches for multiple projection directions. The system is select the patches for packing, the selection of the patches based at least in part on which of the multiple projection directions is associated with each of the patches. The system is to encode the patches into one or more coded pictures according to the selection of the patches.

Abstract: An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to encode surface normals data with point cloud geometry data included in the video bit stream data for reconstruction of objects within the video bit stream data based on the surface normals data and a memory communicatively coupled to the one or more processors.

Abstract: Techniques related to immersive video coding are discussed. Such techniques include encoding an immersive video bitstream by applying scalable video coding to some portions of the immersive video and multiple description coding to other portions of the immersive video and decoding and/or rendering the immersive video bitstream using selective scalable video coding and multiple description coding responsive to indicators in the bitstream.

Abstract: Embodiments are generally directed to transport controlled video coding. An embodiment of an apparatus includes one or more processors to process data; a memory to store data, including data for video streaming; and a video processing mechanism including an encoder and a transport mechanism, wherein the video processing mechanism is to generate a prediction of channel throughput for a network channel, encode one or more bitstreams based on the prediction, including encoding a plurality of bitstreams including a first bitstream and a second bitstream if the prediction indicates an increase or decrease in channel throughput and encoding a single bitstream if the prediction indicates a stable channel throughput; and select a bitstream of the one or more bitstreams for a current frame.

Abstract: A mechanism is described for facilitating defining of interoperability signaling and conformance points for the PCC standard in computing environments. A computing device of embodiments, as described herein, includes a decoder to decode a compressed bitstream of video data representing a point cloud, point cloud reconstructor circuitry to reconstruct a point cloud from the decoded patch video data, a syntax element parser to receive at least one syntax element representing interoperability signaling in the compressed bitstream to indicate the number of points in one or more pictures of the video data, and processing hardware to determine if the number of points in the one or more pictures of the compressed bitstream is within the conformance limits of the point cloud reconstructor circuitry.

Abstract: Embodiments described herein provided for an instruction and associated logic to enable a processing resource including a tensor accelerator to perform optimized computation of sparse submatrix operations. One embodiment provides hardware logic to apply a numerical transform to matrix data to increase the sparsity of the data. Increasing the sparsity may result in a higher compression ratio when the matrix data is compressed.

Abstract: Embodiments described herein provide an apparatus comprising a plurality of processing resources including a first processing resource and a second processing resource, a memory communicatively coupled to the first processing resource and the second processing resource, and a processor to receive data dependencies for one or more tasks comprising one or more producer tasks executing on the first processing resource and one or more consumer tasks executing on the second processing resource and move a data output from one or more producer tasks executing on the first processing resource to a cache memory communicatively coupled to the second processing resource. Other embodiments may be described and claimed.

Abstract: Various embodiments herein provide techniques for scene construction using object based immersive media. Other embodiments may be described and claimed.

Abstract: Techniques related to distributing the video encoding processing of an input video across hardware and software systems. Such techniques include evaluating the content of the video and determine whether or the encoding operation is best to be done on the hardware system only, software system only or a hybrid hardware and software system.

Abstract: An embodiment of an image processor for immersive video includes technology to re-order patches from a plurality of views based on one or more of relative position and orientation related information for a desired synthesized view, select a set of views to be used in each view synthesis pass, perform two or more view synthesis passes for the synthesized view to provide two or more intermediate view synthesis results, and mask and merge the two or more intermediate view synthesis results to provide a final view synthesis result. Other embodiments are disclosed and claimed.

Abstract: Embodiments are directed to neural network processing for multi-object three-dimensional (3D) modeling. An embodiment of a computer-readable storage medium includes executable computer program instructions for obtaining data from multiple cameras, the data including multiple images, and generating a 3D model for 3D imaging based at least in part on the data from the cameras, wherein generating the 3D model includes one or more of performing processing with a first neural network to determine temporal direction based at least in part on motion of one or more objects identified in an image of the multiple images or performing processing with a second neural network to determine semantic content information for an image of the multiple images.