Browsing by Author "Tseng, Yu-Chen"

Now showing 1 - 2 of 2

Analytical Mode-Dependent Rate and Distortion Models for H.264/SVC Coarse Grain Scalability
(2012)
Wu, Chung-Hao
;
Tseng, Yu-Chen
;
Peng, Wen-Hsiao
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
This paper presents analytical rate and distortion models to estimate the rate-distortion (R-D) behavior of different coding modes for H.264/SVC coarse grain scalability (CGS) by jointly considering the effects of quantization, motion-compensated prediction, and motion partitioning structures. Based on the forward channel model and two statistical signal models, we first derive a pair of mode-dependent rate and distortion models for coding modes in base layer. Then these models are extended to account for the coding modes with inter-layer residual prediction in enhancement layer, especially for CGS. Preliminary results show that the proposed rate and distortion models for both layers have the potentiality to estimate the R-D behavior of real data.
ON THE ANALYSIS AND DESIGN OF MOTION SAMPLING STRUCTURE FOR ADVANCED MOTION-COMPENSATED PREDICTION
(2010)
Tseng, Yu-Chen
;
Wu, Chung-Hao
;
Chen, Yi-Wen
;
Wang, Tse-Wei
;
Peng, Wen-Hsiao
This paper addresses the problem of improving motion sampling efficiency for motion-compensated prediction (MCP). We provide a theoretical framework for analyzing the effect of motion sampling structure on MCP efficiency. It is shown that the sampling grid induced by the quadtree partition in H.264/AVC is suboptimal. To improve sampling efficiency, we propose a new pattern, which provides sampling points at both the center and the top-left corner of a macroblcok. When contrasted with conventional NxN/2 block partition, the proposed scheme performs consistently and significantly better in subjective and objective quality.