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- W762344755 abstract "The spatial layer bit allocation problem of H.264/scalable video coding (SVC) is solved in this paper. The challenge of this problem lies in the fact that the low frequency information in spatial scalable video, which consists mainly of the mean absolute difference (MAD) of the residual texture in the base layer, is not always the suitable reference for inter-layer prediction. To overcome this issue, we first analyze the MAD prediction in the enhancement layer from both temporal and spatial aspects, then derive the Rate–Distortion (R–D) models of the spatial layer analytically, and finally develop a model-based bit allocation algorithm. Experimental results show that the proposed bit allocation algorithm can achieve a coding performance close to the optimal R–D performance based on the full search method, and outperforms two prior H.264/SVC bit allocation algorithms served as benchmarks." @default.
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- W762344755 date "2015-01-01" @default.
- W762344755 modified "2023-09-24" @default.
- W762344755 title "Bit Allocation for Spatial Scalable Video Coding with Rate–Distortion Analysis" @default.
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- W762344755 doi "https://doi.org/10.1007/978-3-319-08991-1_69" @default.
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