In this paper, a Fine Granularity Scalability (FGS) streaming framework together with a Quality Weighted Bit Allocation scheme for enhancement-layer is first proposed to achieve smooth video quality even under channel conditions with a wide range of bandwidth variation. PSNR is used as a quality metric and a theoretical analysis on how to maintain a smooth quality is given. We will show, however, taking advantage of the priori information of the PSNR value of the base-layer reconstructed frames will help in providing a consistent video quality. Simulations show that variance of the PSNR of decode frames decreased a lot with the average PSNR increased.
CITATION STYLE
Chen, Z., & He, Y. (2001). Quality weighted bit allocation for smoother streaming of stored FGS video. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2195, pp. 1016–1023). Springer Verlag. https://doi.org/10.1007/3-540-45453-5_137
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