Transform-domain distributed video coding with rate-distortion-based adaptive quantisation

被引:6
|
作者
Chien, W. -J. [1 ]
Karam, L. J. [1 ]
机构
[1] Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA
关键词
MOTION ESTIMATION; INFORMATION;
D O I
10.1049/iet-ipr.2008.0207
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study presents a transform-domain distributed video coding (DVC) system with a rate-distortion (R-D)-based Adaptive QuanTisation (AQT) scheme. In the proposed system, the transform-domain Wyner-Ziv frame is divided into partitions and is adaptively quantised based on estimated local R-D characteristics for each partition. The R-D estimation is performed based on a correlation model between the original source information and the side information and can be applied at the decoder without adding complexity to the encoder. Coding results and comparisons with existing DVC schemes and with H.264/AVC interframe and intraframe coding are presented to illustrate the performance of the proposed system.
引用
收藏
页码:340 / 354
页数:15
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