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Proceedings Paper

Parallel entropy decoding for high-resolution video coding
Author(s): Jie Zhao; Andrew Segall
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Paper Abstract

In this paper, we consider the problem of video decoding for very high resolution image content. Our focus is on future applications, and our emphasis is on the specific problem of entropy decoding. Here, we introduce the concept of an "entropy slice" that partitions a bit-stream into units that can be individually entropy decoded without effecting the reconstruction process. This allows us to parallelize the entropy decoding process of an H.264/AVC decoder with little impact on coding performance. We compare the entropy slice technique to the standard H.264/AVC slice method to parallelization and observe that the proposed method improves coding efficiency. Specifically, compared to the standard slice method, results show an average bit-rate savings of 5.5%. As an additional contribution of this "entropy slice" concept, we also propose the use of a transcoder to convert an H.264/AVC compliant bit-stream to the parallelized entropy slice format. The transcoding operation has the desirable property of allowing highly parallel decoding of current, standards compliant material without affecting the reconstructed image data.

Paper Details

Date Published: 19 January 2009
PDF: 11 pages
Proc. SPIE 7257, Visual Communications and Image Processing 2009, 725706 (19 January 2009); doi: 10.1117/12.805635
Show Author Affiliations
Jie Zhao, Sharp Labs. of America (United States)
Andrew Segall, Sharp Labs. of America (United States)

Published in SPIE Proceedings Vol. 7257:
Visual Communications and Image Processing 2009
Majid Rabbani; Robert L. Stevenson, Editor(s)

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