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VIDEO COMPRESSION THROUGH MOTION WARPING USING LEARNING-BASED MOTION SEGMENTATION
VIDEO COMPRESSION THROUGH MOTION WARPING USING LEARNING-BASED MOTION SEGMENTATION
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机译:通过基于学习的运动分段,通过运动包裹实现视频压缩
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摘要
Regions for texture-based coding are identified using a spatial segmentation and a motion flow segmentation. For frames of a group of frames in a video sequence, a frame is segmented using a first classifier into at least one of a texture region or a non-texture region of an image in the frame. Then, the texture regions of the group of frames are segmented using a second classifier into a texture coding region or a non-texture coding region. The second classifier uses motion across the group of frames as input. Each of the classifiers is generated using a machine-learning process. Blocks of the non-texture region and the non-texture coding region of the current frame are coded using a block-based coding technique, while blocks of the texture coding region are coded using a coding technique that is other than the block-based coding technique.
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