Paper Info
Title
Adaptive Rounding Operator For Efficient Wyner-Ziv Video Coding
Abstract
The Distributed Video Coding (DVC) paradigm can theoretically reach the same coding efficiencies of predictive block-based video coding schemes, like H.264/AVC. However, current DVC architectures are still far from this ideal performance. This is mainly attributed to inaccuracies in the Side Information (SI) predicted at the decoder. The work in this paper presents a coding scheme which tries to avoid mismatch in the SI predictions caused by small variations in light intensity. Using the appropriate rounding operator for every coefficient, the proposed method significantly reduces the correlation noise between the Wyner-Ziv (WZ) frame and the corresponding SI, achieving higher coding efficiencies. Experimental results demonstrate that the average Peak Signal-to-Noise Ratio (PSNR) is improved by up to 0.56dB relative to the DISCOVER codec.
Year
Venue
Keywords
2013
2013 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (IEEE VCIP 2013)
Adaptive quantization, correlation noise, distributed video coding, source representation, Wyner-Ziv coding
Field
DocType
Citations 
Coding tree unit,Computer science,Context-adaptive variable-length coding,Multiview Video Coding,Theoretical computer science,Distributed source coding,Sub-band coding,Shannon–Fano coding,Variable-length code,Context-adaptive binary arithmetic coding
Conference
0
PageRank 
References 
Authors
0.34
11
3
Name
Order
Citations
PageRank
Jeffrey J. Micallef192.54
Reuben A. Farrugia211118.26
Carl James Debono33811.66