Paper Info
Title
Multiple channel division for efficient distributed video coding
Abstract
A novel concept of channel division to improve the performance of distributed video coding is proposed in this work. At the decoder, the proposed algorithm partitions each side information frame into multiple regions with different expected distortions. It is shown that the partitioning is equivalent to the division of the virtual noisy channel from the encoder to the decoder into multiple channels. Then, the proposed algorithm analyzes the noise characteristics of those multiple channels, and allocates a limited bit budget to those channels adaptively to improve the rate-distortion performance. Simulation results demonstrate that the proposed algorithm provides up to 5 dB better performance than the conventional DVC algorithms, as well as reduces the decoding complexity significantly.
Year
DOI
Venue
2009
10.1109/ICIP.2009.5414625
ICIP
Keywords
Field
DocType
multiple channel division,noise characteristics,rate distortion performance,multiple channel,multiplexing,conventional dvc algorithm,wyner-ziv coding,distributed video coding,different expected distortion,channel division,multiple region,better performance,video coding,proposed algorithm,decoding complexity,virtual noisy channel,conventional dvc algorithms,rate distortion theory,channel estimation,rate-distortion performance,side information generation,encoding,indexes,noise,decoding,noise measurement
Noise measurement,Computer science,Theoretical computer science,Coding (social sciences),Artificial intelligence,Rate–distortion theory,Computer vision,Algorithm,Communication channel,Encoder,Decoding methods,Multiplexing,Encoding (memory)
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-5655-0
978-1-4244-5655-0
1
PageRank 
References 
Authors
0.40
6
6
Name
Order
Citations
PageRank
Sang-Uk Park1112.76
Young-Yoon Lee2689.62
Jin-woo Choi312316.51
Jungwon Kang4155.32
Chang-Su Kim51524137.29
Sang-Uk Lee643642.03