Abstract: An embodiment may include a display processor, memory to store a 2D frame corresponding to a projection from a 360 video, and a quality selector to select a quality factor for a block of the 2D frame based on quality information from neighboring blocks of the 2D frame, including blocks which are neighboring only in the 360 video space. The system may also include a range adjuster to adjust a search range for the 2D frame based on a search area of the 2D frame, a viewport manager to determine if a request for a viewport of the 2D frame extends beyond a first edge of the 2D frame and to fill the requested viewport with wrap-around image information, and/or a motion estimator to estimate motion information based on both color information and depth information. Other embodiments are disclosed and claimed.

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: An example apparatus for encoding video frames includes a receiver to receive a current frame to be encoded, and a quantization parameter and statistics for the current frame. The apparatus also includes a frame motion analyzer to detect a motion activity status for the current frame based on the statistics via a motion activity analysis. The apparatus further includes a motion adaptive frame inserter to adaptively switch between a regular reference list management and a long-term reference frame insertion based on the detected motion activity status and the quantization parameter. The apparatus also further includes an encoder to encode the current frame using the regular reference list management or the long-term reference frame insertion.

Abstract: The invention disclose a picosecond-nanosecond laser composite asynchronous ceramics polishing method. First, a picosecond laser is used to scan and irradiate the ceramic surface along the scanning path. At the same time, ceramic surface is initially flattened and the electronic state of materials is removed by picosecond laser to produce micro-nanoparticles. Micro-nanoparticles exist as ionized state in the adjacent space region of irradiated ceramics surface. Then, low energy density nanosecond laser is used according to a preset time to irradiate and melt these micro-nanoparticles which can easily form a dense and smooth fine crystal melting layer to achieve the polishing effect. The present disclosure fixes the generation of micro-cracks and pores in traditional laser polishing process. It overcomes the shortcomings of traditional laser polishing such as large thermal influence zone, easy to generate micro-cracks and pores on the surface, etc.

Abstract: Techniques related to video coding include content adaptive quantization that provides a selection between objective quality and subjective quality delta QP offsets.

Abstract: Techniques related to adaptive quality boosting for low latency video coding are discussed. Such techniques include segmenting each of a number of temporally adjacent video frames into unique high encode quality regions and encoding each of the video frames by applying a coding quality boost to the high encode quality regions relative to other regions of the video frames.

Abstract: Techniques related to coding video using adaptive quantization rounding offsets for use in transform coefficient quantization are discussed. Such techniques may include determining the value of a quantization rounding offset for a picture of a video sequence based on evaluating a maximum coding bit limit of the picture, a quantization parameter of the picture, and parameters corresponding to the video.

Abstract: Techniques related to quantization parameter estimation for coding intra and scene change frames are discussed. Such techniques include generating features based on an intra or scene change frame including a proportion of smooth blocks and one or both of a measure of block variance and a prediction distortion, and applying a machine learning model to generate an estimated quantization parameter for encoding the intra or scene change frame.

Abstract: Techniques related to coding video using adaptive quantization rounding offsets for use in transform coefficient quantization are discussed. Such techniques may include determining the value of a quantization rounding offset for a picture of a video sequence based on evaluating a maximum coding bit limit of the picture, a quantization parameter of the picture, and parameters corresponding to the video.

Abstract: Techniques related to accelerated video enhancement using deep learning selectively applied based on video codec information are discussed. Such techniques include applying a deep learning video enhancement network selectively to decoded non-skip blocks that are in low quantization parameter frames, bypassing the deep learning network for decoded skip blocks in low quantization parameter frames, and applying non-deep learning video enhancement to high quantization parameter frames.

Abstract: Techniques related to selecting restoration filter coefficients for 2-dimensional loop restoration filters for super resolution video coding are discussed. Such techniques include upscaling reconstructed video frames along only a first dimension and selecting filter coefficients for portions of the frame by an evaluation that, for each pixel of the portion, uses only pixel values that are aligned with the first dimension. Selection of filter coefficients for the second dimension may be skipped or made using only a subset of available filter coefficients.

Abstract: The invention disclose a picosecond-nanosecond laser composite asynchronous ceramics polishing method. First, a picosecond laser is used to scan and irradiate the ceramic surface along the scanning path. At the same time, ceramic surface is initially flattened and the electronic state of materials is removed by picosecond laser to produce micro-nanoparticles. Micro-nanoparticles exist as ionized state in the adjacent space region of irradiated ceramics surface. Then, low energy density nanosecond laser is used according to a preset time to irradiate and melt these micro-nanoparticles which can easily form a dense and smooth fine crystal melting layer to achieve the polishing effect. The present disclosure fixes the generation of micro-cracks and pores in traditional laser polishing process. It overcomes the shortcomings of traditional laser polishing such as large thermal influence zone, easy to generate micro-cracks and pores on the surface, etc.

Abstract: An example apparatus for encoding video frames includes a mask selector to select a subset of visual masks according to an actual target compression ratio and GOP configuration and a complexity estimator to estimate a picture level spatial/temporal complexity for a current frame. The example apparatus further includes a GOP adaptive visual mask selector to specify a visual mask from the subset of the visual masks corresponding to the estimated spatial and temporal complexity value a good enough picture QP deriver to derive a good enough picture QP value using the visual mask. The example apparatus also includes an adjustor to adjust the good enough picture QP value based on block level human visual system sensitivity and statistics of already encoded frames to obtain a final human visual system QP map.

Abstract: Techniques related to quantization parameter estimation for video coding are discussed. Such techniques may include generating features using a picture of input video received for encoding and applying a neural network to a feature vector including the features, a target bitrate, and a resolution of the picture to generate an estimated quantization parameter for encoding the picture.

Abstract: An embodiment may include a display processor, memory to store a 2D frame corresponding to a projection from a 360 video, and a quality selector to select a quality factor for a block of the 2D frame based on quality information from neighboring blocks of the 2D frame, including blocks which are neighboring only in the 360 video space. The system may also include a range adjuster to adjust a search range for the 2D frame based on a search area of the 2D frame, a viewport manager to determine if a request for a viewport of the 2D frame extends beyond a first edge of the 2D frame and to fill the requested viewport with wrap-around image information, and/or a motion estimator to estimate motion information based on both color information and depth information. Other embodiments are disclosed and claimed.

Abstract: Techniques related to selecting restoration filter coefficients for 2-dimensional loop restoration filters for super resolution video coding are discussed. Such techniques include upscaling reconstructed video frames along only a first dimension and selecting filter coefficients for portions of the frame by an evaluation that, for each pixel of the portion, uses only pixel values that are aligned with the first dimension. Selection of filter coefficients for the second dimension may be skipped or made using only a subset of available filter coefficients.

Abstract: Techniques related to coding video using adaptive in-loop filtering enablement are discussed. Such techniques may include determining whether or not to perform in-loop filtering based on evaluating a maximum coding bit limit of a picture of the video, a quantization parameter of the picture, and a coding structure of the video.

Abstract: Techniques related to selecting constrained directional enhancement filters for video coding are discussed. Such techniques may include selecting subset of constrained directional enhancement filters for use by a frame based on a frame level quantization parameter of the frame such that only the subset is used for filtering the frame.

Abstract: An example apparatus for encoding video frames includes a receiver to receive a current frame to be encoded, and a quantization parameter and statistics for the current frame. The apparatus also includes a frame motion analyzer to detect a motion activity status for the current frame based on the statistics via a motion activity analysis. The apparatus further includes a motion adaptive frame inserter to adaptively switch between a regular reference list management and a long-term reference frame insertion based on the detected motion activity status and the quantization parameter. The apparatus also further includes an encoder to encode the current frame using the regular reference list management or the long-term reference frame insertion.

Abstract: Adaptive video deblocking techniques include selecting a deblock filter strength threshold offset based on a picture or slice level quantization parameter being within a particular zone of multiple zones of a range of available quantization parameters such that each zone has a preselected deblock filter strength threshold offset corresponding thereto.