Methods and systems for compressing a video stream with minimal loss after subsampled decoding
作者： John A. Tardif , Shankar Moni
DOI:
关键词: Rate–distortion optimization 、 Video quality 、 Artificial intelligence 、 Uncompressed video 、 Video compression picture types 、 Computer vision 、 Video denoising 、 Motion compensation 、 Video post-processing 、 Computer science 、 Multiview Video Coding 、 Computer graphics (images)
摘要: Transcoding of a video stream to reduce the size with little, if any, loss in quality after subsampling. After accessing pictures (i.e., frames or fields), blocks picture are each subject matrix pre-multiplication and post-multiplication. Such multiplication does degrade subsampling was not occur. However, post-multiplication matrices calculated based on that will be used ultimately subsample such eventually occurs, multiplications result minimal quality.
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