Paper Info
Title
Unequal Iterative Decoding for Power Efficient Video Transmission
Abstract
We present an unequal iterative decoding (UID) approach for minimization of the receiver power consumption subject to a given quality of service, by exploiting data partitioning and turbo decoding. We assign unequal decoding iterations of forward error correction (FEC) to data partitions with different importance by jointly considering the source coding, channel coding and receiver power allocation. The proposed scheme has been applied to H.264 video over AWGN channel, and achieves excellent tradeoff between video delivery quality and power consumption, and yields significant power saving compared with the classical equal iterative decoding (EID) approach in wireless video transmission
Year
DOI
Venue
2006
10.1109/ICME.2006.262483
ICME
Keywords
Field
DocType
power efficient video transmission,turbo codes,power consumption,awgn channels,fec,unequal iterative decoding,joint source channel coding,quality-of-service,quality of service,turbo decoding,awgn channel,wireless channels,video delivery quality,qos,h.264 video,video coding,receiver power allocation,forward error correction,uid approach,additive white gaussian noise,radio receivers,code standards,iterative decoding,combined source-channel coding,data partition,source coding,information processing,video compression,image reconstruction,channel coding,source code,power efficiency
Forward error correction,Source code,Computer science,Turbo code,Computer network,Quality of service,Artificial intelligence,List decoding,Pattern recognition,Communication channel,Algorithm,Decoding methods,Additive white Gaussian noise
Conference
ISBN
Citations 
PageRank 
1-4244-0367-7
3
0.43
References 
Authors
7
3
Name
Order
Citations
PageRank
Yongfang Wang1237.27
Yu Song235652.74
Xiaokang Yang33581238.09