Title
Optimal multilayer adaptation of SVC video over heterogeneous environments
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.
Year
DOI
Venue
2008
10.1155/2008/739192
Adv. in MM
Keywords
Field
DocType
scalable video coding,fine-grained scalability,multiple spatial layer,snr dimension,new video,snr scalability,different spatial layer,fgs layer,heterogeneous environment,svc video,collective video quality,optimal multilayer adaptation,spatial layer
Computer science,Video coding format,On the fly,Real-time computing,Bitstream,Video quality,Scalable Video Coding,Scalability
Journal
Volume
Issue
ISSN
2008
2
1687-5680
Citations 
PageRank 
References 
10
1.19
12
Authors
4
Name
Order
Citations
PageRank
Truong Cong Thang126032.15
Jung Won Kang216612.60
Jeong-Ju Yoo3334.31
Yong Man Ro41192125.87