19 January 2009 A novel rate estimation model for mode decision of H.264/AVC
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Proceedings Volume 7257, Visual Communications and Image Processing 2009; 72570R (2009); doi: 10.1117/12.805694
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
To acquire the optimal coding mode of each macroblock, the H.264/AVC encoder exhaustively calculates the ratedistortion cost for all available modes and chooses the minimum one as the best mode. Therefore, the mode decision process is very computationally demanding. To reduce the computation complexity of the rate-distortion cost, in this paper, we propose a novel rate estimation model for the mode decision in H.264/AVC. By modeling the transform coefficients with Generalized Gaussian distributions (GGD), a direct relationship between the magnitude and the information bits of the quantized transform coefficients is deduced. Based on this deduction, the weighted sum of quantized transform coefficients is proposed as an efficient bit-rate estimator of the residual blocks. Extensive experiments show that the proposed algorithm can save up to 30% of total encoding time with ignorable degradation in coding performance for both inter- and intra-mode decision.
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Xin Zhao, Jun Sun, Wen Gao, "A novel rate estimation model for mode decision of H.264/AVC", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72570R (19 January 2009); doi: 10.1117/12.805694; https://doi.org/10.1117/12.805694
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KEYWORDS
Computer programming

Video coding

Quantization

Image processing

Statistical modeling

Distortion

Process modeling

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