Adaptive source representation for distributed video coding

In the last few years distributed video coding (DVC) has become a new paradigm for video compression where the encoding process needs to be simple. DVC allows for the development of new applications where the computational complexity and the amount of memory inside the video encoder are limited. In...

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Bibliographic Details
Published in:2009 16th IEEE International Conference on Image Processing (ICIP) pp. 1405 - 1408
Main Authors: Huchet, G., Chouinard, J.-Y., Wang, D., Vincent, A.
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2009
Subjects:
Bit rate
Computational complexity
correlation
Decoding
Discrete cosine transforms
DVC
Entropy
Gray binary representation
Interpolation
Reflective binary codes
Slepian-Wolf
Video coding
Video compression
Video sequences
ISBN:9781424456536, 1424456533
ISSN:1522-4880
Online Access:Get full text
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Summary:In the last few years distributed video coding (DVC) has become a new paradigm for video compression where the encoding process needs to be simple. DVC allows for the development of new applications where the computational complexity and the amount of memory inside the video encoder are limited. In this paper, we introduce a new data representation and coding method for DVC systems. The proposed method consists of an adaptive binary representation based on the maximum difference between the source picture and the side information. This adaptive representation provides a reduction of bitrate without any loss of information, while maintaining the low complexity of the encoder. Experimental results show a significant increase in performance over conventional DVC methods.
ISBN:9781424456536
1424456533
ISSN:1522-4880
DOI:10.1109/ICIP.2009.5414626