首页> 外国专利> 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)

机译：用于在视频编码，恢复和视频质量分析中应用深度学习技术的方法和装置（VQA）

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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.

机译：视频质量分析可用于许多多媒体传输和通信应用，例如编码器优化，流选择和/或视频重建。可以考虑评估处理后视频时，准确地反映处理视频的高度反映处理视频的质量的目标VQA度量，以考虑空间测量和基于运动的运动的措施。时间测量可以包括指示相对于源视频的对应多个帧的多个帧的帧差的帧差之间的差分运动度量。此外，神经网络和深度学习技术可用于开发其他改进的VQA度量，以考虑处理和未处理的视频的空间和时间方面。

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公开/公告号US2021099715A1

专利类型
公开/公告日2021-04-01

原文格式PDF
申请/专利权人 FASTVDO LLC;
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申请/专利号US202017119981
发明设计人 PANKAJ N. TOPIWALA;MADHU PERINGASSERY KRISHNAN;WEI DAI;
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申请日2020-12-11
分类号H04N19/154;H04N19/172;H04N19/174;H04N19/567;H04N19/107;G06N3/08;H04N19/124;H04N19/176;G06T7/254;G06N20/10;G06T3/40;G06T5;G06T7;G06T9;H04N21/234;H04N21/2343;H04N21/236;
国家 US
入库时间 2022-08-24 18:00:57

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