Bit allocation for joint spatial-quality scalability in H.264/SVC

Authors:
Jiaying Liu;Zongming Guo;Yongjin Cho
Affiliations:
Institute of Computer Science and Technology, Peking University, Beijing, P.R. China;Institute of Computer Science and Technology, Peking University, Beijing, P.R. China;Department of Electrical Engineering, University of Southern California, Los Angeles, CA
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 3
Cited 2

Bit-rate control using piecewise approximated rate-distortion characteristics

IEEE Transactions on Circuits and Systems for Video Technology
Frame bit allocation for the H.264/AVC video coder via Cauchy-density-based rate and distortion models

IEEE Transactions on Circuits and Systems for Video Technology
Rate Control of H.264/AVC Scalable Extension

IEEE Transactions on Circuits and Systems for Video Technology

Spatial bit allocation with SAQD-domain source models for H.264/SVC

PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
A fast algorithm of bitstream extraction using distortion prediction based on simulated annealing

Journal of Visual Communication and Image Representation

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this work, we propose a model-based layer bit allocation algorithm for joint spatial-quality (S-Q) scalability in H.264/SVC. The complicated inter-layer dependency is decoupled by the proposed spatial and quality rate and distortion (R-D) models. We show that the R-D characteristics of a dependent layer can be represented by a number of independent functions with GOP as a basic coding unit. Then, the joint bit allocation problem is formulated as a two-step optimization problem by the Lagrangian multiplier method, which can be numerically solved using the proposed R-D models. Finally, we develop a low-complexity bit allocation algorithm for the combined spatial and quality scalability in H.264/SVC. It is shown by experimental results that our proposed bit allocation algorithm achieves the coding performance significantly improved from current reference software JSVM.