Paper
4 August 2010 A perceptual-based approach to bit allocation for H.264 encoder
Tao-Sheng Ou, Yi-Hsin Huang, Homer H. Chen
Author Affiliations +
Proceedings Volume 7744, Visual Communications and Image Processing 2010; 77441B (2010) https://doi.org/10.1117/12.863266
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China
Abstract
Since the ultimate receivers of encoded video are human eyes, the characteristics of human visual system should be taken into consideration in the design of bit allocation to improve the perceptual video quality. In this paper, we incorporate the structural similarity index as a distortion metric and propose a novel rate-distortion model to characterize the relationship between rate and the structural similarity index. Based on the model, we develop an optimum bit allocation and rate control scheme for H.264 encoders. Experimental results show that up to 25% bitrate reduction over the JM reference software can be achieved. Subjective evaluation further confirms that the proposed scheme preserves more structural information and improves the perceptual quality of the encoded video.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tao-Sheng Ou, Yi-Hsin Huang, and Homer H. Chen "A perceptual-based approach to bit allocation for H.264 encoder", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77441B (4 August 2010); https://doi.org/10.1117/12.863266
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CITATIONS
Cited by 18 scholarly publications and 3 patents.
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KEYWORDS
Computer programming

Distortion

Video

Image quality

Niobium

Data modeling

Eye models

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