Rate Control for Spatial Scalability Video Coding
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This book investigates the problem of bit allocation for spatial and spatio-temporal scalability video coding of H.264/SVC. Little prior work deal with the H.264/SVC bit allocation problem considering the correlation between the enhancement and base layers. Nevertheless, most of the bit allocation algorithms suffer from high computational complexity which grows significantly with the number of layers. In this book, single-pass spatial and spatio-temporal bit allocation algorithms based on dependent Rate-Distortion (R-D) modeling are proposed. In both algorithms, the R-D model parameters are ad...
This book investigates the problem of bit allocation for spatial and spatio-temporal scalability video coding of H.264/SVC. Little prior work deal with the H.264/SVC bit allocation problem considering the correlation between the enhancement and base layers. Nevertheless, most of the bit allocation algorithms suffer from high computational complexity which grows significantly with the number of layers. In this book, single-pass spatial and spatio-temporal bit allocation algorithms based on dependent Rate-Distortion (R-D) modeling are proposed. In both algorithms, the R-D model parameters are adaptively updated during the coding process. Experimental results demonstrate that the proposed algorithms achieve improvements in the coding gain as compared to the multi-pass model-based algorithm and the Joint Scalable Video Model (JSVM) FixedQPEncoder.
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