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METHOD AND APPARATUS FOR APPLYING DEEP LEARNING TECHNIQUES IN VIDEO CODING, RESTORATION AND VIDEO QUALITY ANALYSIS (VQA)
METHOD AND APPARATUS FOR APPLYING DEEP LEARNING TECHNIQUES IN VIDEO CODING, RESTORATION AND VIDEO QUALITY ANALYSIS (VQA)
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机译:在视频编码,恢复和视频质量分析(VQA)中应用深度学习技术的方法和装置
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摘要
Video quality analysis may be used in many multimedia transmission and communication applications, such as encoder optimization, stream selection, and/or video reconstruction. An objective VQA metric that accurately reflects the quality of processed video relative to a source unprocessed video may take into account both spatial measures and temporal, motion-based measures when evaluating the processed video. Temporal measures may include differential motion metrics indicating a difference between a frame difference of a plurality of frames of the processed video relative to that of a corresponding plurality of frames of the source video. In addition, neural networks and deep learning techniques can be used to develop additional improved VQA metrics that take into account both spatial and temporal aspects of the processed and unprocessed videos.
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