语音和视频的速率失真界限

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Foundations and Trends in Communications and Information Theory Pub Date : 2014-02-28 DOI:10.1561/0100000061
J. Gibson, Jing Hu
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引用次数: 8

摘要

在过去的25年中,已经开发了许多语音,静止图像,音频和视频压缩标准,并且在艺术状态方面取得了重大进展。然而,自香农1959年发表开创性论文以来的50多年里,语音和视频的速率失真界限一直没有出现。在本卷中,我们提出了语音和视频的第一速率失真界限,它实际上降低了性能最好的语音和视频编解码器的操作速率失真性能。边界表明,与性能最好的语音和视频编解码器相比,速率失真性能的改善约为50%是可能的。讨论了改进新边界的研究方向。
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Rate Distortion Bounds for Voice and Video
Numerous voice, still image, audio, and video compression standards have been developed over the last 25 years, and significant advances in the state of the art have been achieved. However, in the more than 50 years since Shannon's seminal 1959 paper, no rate distortion bounds for voice and video have been forthcoming. In this volume, we present the first rate distortion bounds for voice and video that actually lower bound the operational rate distortion performance of the best-performing voice and video codecs. The bounds indicate that improvements in rate distortion performance of approximately 50% over the best-performing voice and video codecs are possible. Research directions to improve the new bounds are discussed.
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来源期刊
Foundations and Trends in Communications and Information Theory
Foundations and Trends in Communications and Information Theory COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.90
自引率
0.00%
发文量
6
期刊介绍: Foundations and Trends® in Communications and Information Theory publishes survey and tutorial articles in the following topics: - Coded modulation - Coding theory and practice - Communication complexity - Communication system design - Cryptology and data security - Data compression - Data networks - Demodulation and Equalization - Denoising - Detection and estimation - Information theory and statistics - Information theory and computer science - Joint source/channel coding - Modulation and signal design - Multiuser detection - Multiuser information theory
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