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	Adaptive coding for generalized Gaussian sources in image coding
	Zhao An-bang ; Wang Wen-sheng ; Cui Hui-juan ; Tang Kun
	2010-05-06 ; 2010-05-06
关键词	Practical Theoretical or Mathematical/ adaptive codes code standards entropy codes Gaussian processes source coding video coding/ generalized Gaussian sources image coding video coding standards adaptive entropy coding adaptive Exp-Golomb codes/ B6135C Image and video coding B0240Z Other topics in statistics C5260D Video signal processing C1140Z Other topics in statistics
中文摘要	Several latest video coding standards are introduced and compared. Since entropy coding is one of the most important topics that need serious study in the fields of video coding standards, the main work of this paper focuses on adaptive entropy coding. In this paper, an adaptive coding technique is proposed, namely, adaptive Exp-Golomb codes (AEG), in order to mitigate the efficiency loss due to mismatch. Analysis and simulations show that the adaptive techniques are robust enough to keep high coding efficiency (constantly about 90%) even if the sources undergo big changes.
语种	中文 ; 中文
出版者	Beijing TV and Audio Engineering Publishing House ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/11343]
专题	清华大学
推荐引用方式 GB/T 7714	Zhao An-bang,Wang Wen-sheng,Cui Hui-juan,et al. Adaptive coding for generalized Gaussian sources in image coding[J],2010, 2010.
APA	Zhao An-bang,Wang Wen-sheng,Cui Hui-juan,&Tang Kun.(2010).Adaptive coding for generalized Gaussian sources in image coding..
MLA	Zhao An-bang,et al."Adaptive coding for generalized Gaussian sources in image coding".(2010).

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