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Advances in Multimedia
Volume 2008, Article ID 739192, 8 pages
http://dx.doi.org/10.1155/2008/739192
Research Article

Optimal Multilayer Adaptation of SVC Video over Heterogeneous Environments

1Multimedia Group, Information and Communications University, Daejeon 305-732, South Korea
2Broadcasting Media Research Group, Electronics and Telecommunications Research Institute, Daejeon 305-700, South Korea

Received 21 August 2007; Accepted 22 November 2007

Academic Editor: Jianwei Huang

Copyright © 2008 Truong Cong Thang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Scalable video coding (SVC) is a new video coding format which provides scalability in three-dimensional (spatio-temporal-SNR) space. In this paper, we focus on the adaptation in SNR dimension. Usually, an SVC bitstream may contain multiple spatial layers, and each spatial layer may be enhanced by several FGS layers. To meet a bitrate constraint, the fine-grained scalability (FGS) data of different spatial layers can be truncated in various manners. However, the contributions of FGS layers to the overall/collective video quality are different. In this work, we propose an optimized framework to control the SNR scalability across multiple spatial layers. Our proposed framework has the flexibility in allocating the resource (i.e., bitrate) among spatial layers, where the overall quality is defined as a function of all spatial layers' qualities and can be modified on the fly.