標題: One-Sided rho-GGD Source Modeling and Rate-Distortion Optimization in Scalable Wavelet Video Coder
作者: Tsai, Chia-Yang
Hang, Hsueh-Ming
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Interframe wavelet video;motion information gain (MIG);one-sided rho-GGD;scalable wavelet video
公開日期: 1-十一月-2011
摘要: We develop an accurate source model, one-sided rho-generalized Gaussian distribution (GGD), for approximating the residual signals in scalable wavelet video coding. An efficient piecewise linear expression is suggested to estimate the shape parameter of the one-sided rho-GGD. We also improve the model accuracy in matching the real data by modifying the. parameter estimation formula. Continuing our previous work on developing the motion information gain metric to measure the motion information efficiency, we now incorporate the one-sided rho-GGD model in the cost function, which is used for deciding the motion vectors and motion estimation mode in scalable wavelet video coding. Compared with the conventional Lagrangian optimization, our simulation results show that the new mode decision method generally improves the peak signal-to-noise ratio performance in the combined signal-to-noise ratio and temporal scalability cases.
URI: http://dx.doi.org/10.1109/TCSVT.2011.2125530
http://hdl.handle.net/11536/14684
ISSN: 1051-8215
DOI: 10.1109/TCSVT.2011.2125530
期刊: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
Volume: 21
Issue: 11
起始頁: 1557
結束頁: 1570
顯示於類別:期刊論文


文件中的檔案:

  1. 000296471100001.pdf