Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA.
IEEE Trans Image Process. 2001;10(11):1613-20. doi: 10.1109/83.967389.
In this paper, we introduce a new methodology for signal-to-noise ratio (SNR) video scalability based on the partitioning of the DCT coefficients. The DCT coefficients of the displaced frame difference (DFD) for inter-blocks or the intensity for intra-blocks are partitioned into a base layer and one or more enhancement layers, thus, producing an embedded bitstream. Subsets of this bitstream can be transmitted with increasing video quality as measured by the SNR. Given a bit budget for the base and enhancement layers the partitioning of the DCT coefficients is done in a way that is optimal in the operational rate-distortion sense. The optimization is performed using Lagrangian relaxation and dynamic programming (DP). Experimental results are presented and conclusions are drawn.
在本文中,我们提出了一种基于 DCT 系数分区的新的信噪比(SNR)视频可分级性方法。对帧间的位移帧差(DFD)或帧内的强度的 DCT 系数进行分层,形成一个基本层和一个或多个增强层,从而产生一个嵌入式比特流。该比特流的子集可以根据 SNR 进行传输,从而提高视频质量。对于基本层和增强层的比特预算,DCT 系数的分区是以操作率失真意义上最优的方式进行的。优化是通过拉格朗日松弛和动态规划(DP)来完成的。本文给出了实验结果并得出了结论。