scholarly journals Feedback Channel Suppression in Distributed Video Coding with Adaptive Rate Allocation and Quantization for Multiuser Applications

Author(s):  
Charles Yaacoub ◽  
Joumana Farah ◽  
Béatrice Pesquet-Popescu
2017 ◽  
Vol 11 (2) ◽  
pp. 126-134 ◽  
Author(s):  
Pudi Raj Bhagath ◽  
Kallol Mallick ◽  
Jayanta Mukherjee ◽  
Sudipta Mukopadhayay

2012 ◽  
Vol 12 (02) ◽  
pp. 1250010 ◽  
Author(s):  
VIJAY KUMAR KODAVALLA ◽  
P. G. KRISHNA MOHAN

Distributed video coding (DVC) is new video coding paradigm for emerging applications such as wireless video cameras, wireless low-power surveillance networks, disposable video cameras, sensor networks, networked camcorders, etc. In traditional video coding standards (MPEG/H.264/DivX/VC1), typically the encoder is five to 10 times more complex than the decoder, which is well suited for broadcast and streaming video-on-demand systems, where video is compressed once and decoded many times. However, the emerging applications require dual system, i.e. low complex encoders, possibly at the expense of high complex decoders. Here, low complexity encoders are must because memory, computational power and energy are scarce at the encoder. Distributed coding exploits source statistics in decoder and hence encoder can be very simple, at the expense of the more complex decoder. In literature, various DVC Architectures proposed depend on availability of feedback channel from decoder to encoder, to achieve minimum rate for target quality. In practical systems usually bidirectional communication channels are not available. Other implications are in terms of decoding delay and decoder complexity, due to usage of feedback channel. Hence it is highly desirable to design DVC without need for feedback channel. In this paper, feedback-free DVC Architecture is proposed and C model implementation results are presented.


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