Perceptual-Based Rate Control for Video Coding
Date Issued
2010
Date
2010
Author(s)
Ou, Tao-Sheng
Abstract
The quality of encoded video is ultimately judged by human eyes; however, most previous optimum rate control schemes use mean squared error and the like as quality metrics that are poorly correlated with human perception. Although perceptual-based rate control incorporating the characteristics of human visual system has been developed, most existing schemes do not take rate-distortion optimization into consideration. In this thesis, we use the structural similarity index as the quality metric for rate-distortion modeling and develop an optimum bit allocation and rate control scheme for H.264. This scheme achieves up to 25% bit-rate reduction over the JM reference software of H.264. We also show that the proposed scheme can be further integrated with the perceptual-based mode decision scheme under the rate-distortion optimization framework to bring the bit-rate reduction over the JM reference software to 32%. The perceptual quality improvement is examined by subjective inspection.
Subjects
rate-distortion optimization
rate control
structural similarity
Type
thesis
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