Analytical Mode-Dependent Rate and Distortion Models for H.264/SVC Coarse Grain Scalability

Abstract

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.