A novel frame-level constant-distortion bit allocation for smooth H.264/AVC video quality

Li Liu; Xinhua Zhuang

doi:10.1117/12.805900

19 January 2009 A novel frame-level constant-distortion bit allocation for smooth H.264/AVC video quality

Li Liu, Xinhua Zhuang

Proceedings Volume 7257, Visual Communications and Image Processing 2009; 72570T (2009) https://doi.org/10.1117/12.805900
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

It is known that quality fluctuation has a major negative effect on visual perception. In previous work, we introduced a constant-distortion bit allocation method [1] for H.263+ encoder. However, the method in [1] can not be adapted to the newest H.264/AVC encoder directly as the well-known chicken-egg dilemma resulted from the rate-distortion optimization (RDO) decision process. To solve this problem, we propose a new two stage constant-distortion bit allocation (CDBA) algorithm with enhanced rate control for H.264/AVC encoder. In stage-1, the algorithm performs RD optimization process with a constant quantization QP. Based on prediction residual signals from stage-1 and target distortion for smooth video quality purpose, the frame-level bit target is allocated by using a close-form approximations of ratedistortion relationship similar to [1], and a fast stage-2 encoding process is performed with enhanced basic unit rate control. Experimental results show that, compared with original rate control algorithm provided by H.264/AVC reference software JM12.1, the proposed constant-distortion frame-level bit allocation scheme reduces quality fluctuation and delivers much smoother PSNR on all testing sequences.

Citation Download Citation

Li Liu and Xinhua Zhuang "A novel frame-level constant-distortion bit allocation for smooth H.264/AVC video quality", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72570T (19 January 2009); https://doi.org/10.1117/12.805900

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KEYWORDS

Computer programming

Distortion

Video

Quantization

Detection and tracking algorithms

Signal processing

Video coding

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