Title :
AQT-DVC: Adaptive Quantization for transform-domain distributed video coding
Author :
Chien, Wei-Jung ; Karam, Lina J.
Author_Institution :
Dept. of Electr., Comput., & Energy Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
This paper presents a rate-distortion based adaptive quantization (AQT) scheme for transform-domain distributed video coding (DVC). In the proposed DVC system, the Wyner-Ziv frame is divided into partitions and is adaptively quantized in the transform domain based on estimated local rate-distortion (R-D) characteristics. The R-D characteristics are estimated at the decoder using a correlation model between the original source information and the side information. Rate-distortion performance results and comparisons with existing DVC schemes and with H.264 are presented.
Keywords :
quantisation (signal); rate distortion theory; video coding; AQT-DVC; H.264; Wyner-Ziv frame; adaptive quantization; correlation model; rate distortion; transform-domain distributed video coding; Computational complexity; Decoding; Discrete cosine transforms; Distributed computing; Motion estimation; Power engineering and energy; Quantization; Rate-distortion; Turbo codes; Video coding; Distributed video coding; Rate distortion; Wyner-Ziv coding;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414621