Paper Info
Title
Correlation Noise-Based Unequal Error Protected Rate-Adaptive Codes for Distributed Video Coding
Abstract
Distributed video coding (DVC) is a paradigm that can shift most of the computational intensive tasks from the encoder to the decoder. This allows for the design of low complexity encoders that can be deployed in devices equipped with limited resources. However, the compression efficiency obtained using practical DVC codecs are still distant from those of traditional predictive video coding schemes such as H.264/AVC. One of the limitations of the existing DVC architectures is that they consider the correlation noise to be randomly distributed across the whole video frame. This paper shows that the Syner–Ziv (WZ) values that are closer to the endpoints of the quantization intervals have a higher probability of producing incorrect side information (SI) predictions. Thus, through this knowledge, rate-adaptive low-density parity-check accumulate codes that provide a higher level of protection to the unreliable SI bits can be exploited. Experimental results show that the proposed scheme can reduce the WZ bit-rate up to 13% relative to the state-of-the-art DISCOVER architecture when considering interpolation techniques and by up to 0.9 dB for extrapolation techniques.
Year
DOI
Venue
2014
10.1109/TCSVT.2013.2273630
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
Field
DocType
extrapolation,interpolation
Computer science,Motion compensation,Multiview Video Coding,Theoretical computer science,Artificial intelligence,Computer engineering,Variable-length code,Context-adaptive binary arithmetic coding,Scalable Video Coding,Pattern recognition,Coding tree unit,Encoder,Data compression
Journal
Volume
Issue
ISSN
24
1
1051-8215
Citations 
PageRank 
References 
3
0.37
24
Authors
3
Name
Order
Citations
PageRank
Jeffrey J. Micallef192.54
Reuben A. Farrugia211118.26
Carl James Debono33811.66