Low bit-rate subband video coding using context models

被引：0

作者：

Coban, MZ ^{[1
]}

Mersereau, RM ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Elect & Comp Engn, Ctr Signal & Image Proc, Atlanta, GA 30332 USA

来源：

2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS | 2000年

关键词：

D O I：

10.1109/ICIP.2000.899839

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a hybrid low bit-rate subband video coding scheme utilizing context models, rate-constrained motion estimation and overlapped motion compensation. Emerging efficient context-based entropy coding techniques fit very well to to wavelet/subband-based coding systems, making them very attractive candidate for entropy coding part of a wavelet/subband-based video coding scheme. In this paper a multidimensional probability modeling technique along with context-based entropy coding are utilized to exploit redundancies in the subband structure, yielding better compression.

引用

页码：836 / 839

页数：2

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