A generic virtual content insertion system based on visual attention analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Laplace distribution based Lagrangian rate distortion optimization for hybrid video coding
IEEE Transactions on Circuits and Systems for Video Technology
Asymptotically efficient quantizing
IEEE Transactions on Information Theory
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Low-delay rate control for DCT video coding via ρ-domain source modeling
IEEE Transactions on Circuits and Systems for Video Technology
Perceptual Rate-Distortion Optimization Using Structural Similarity Index as Quality Metric
IEEE Transactions on Circuits and Systems for Video Technology
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Rate-distortion optimization (RDO) plays a significant role in video coding. However, in most RDO methods, the distortion measurement metrics consider only the spatial distortion of statistical pixel errors. People have concerns about not only the information of independent pixels, but also the spatial and temporal correlations between them. In order to make the distortion assessment more consistent with human perception, temporal information of the successive images and the characteristics of human visual perception should be considered as well. In this paper, we propose a rate-distortion model based on spatio-temporal video structural similarity (stVSSIM) index, which takes both spatial and temporal visual quality into account. Meanwhile, to obtain a reasonable trade-off between bit-rate and visual quality dynamically, a perceptual adaptive Lagrange multiplier selection method is presented. Simulation results show that the proposed method averagely reduces 20% bit-rate under the equal visual quality and the adaptive Lagrange multiplier can further improve the results.