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Proceedings Paper

Rate distortion optimized quantization for H.264/AVC based on dynamic programming
Author(s): Wensheng Wang; Huijuan Cui; Kun Tang
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Paper Abstract

In this paper, an optimal quantization decision algorithm in the rate distortion sense for H.264/AVC1 with dynamic programming is proposed, in which a trellis is constructed for the 4x4 block quantization and adaptive entropy encoding process. Dynamic programming is employed to go through the trellis and search for the best path with minimum rate distortion cost in linear time. The quantization decisions for all coefficients in one block are made simultaneously in our approach. Thorough experiments are conducted on various sequences with different coding complexity for a wide range of bit-rates. The results show that the performance gain increases as the reproduction PSNR gets higher. For the sequences with high coding complexity, up to approximate 1 dB gain over independent quantization is observed for high PSNR encoding, e.g. higher than 45dB. In other cases, obvious gain can also be achieved. At the same time, since the state space is compact, the complexity increase is acceptable for software implementation.

Paper Details

Date Published: 24 June 2005
PDF: 12 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596065 (24 June 2005); doi: 10.1117/12.633421
Show Author Affiliations
Wensheng Wang, Tsinghua Univ. (China)
Huijuan Cui, Tsinghua Univ. (China)
Kun Tang, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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