Abstract | ||
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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 |
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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 Thang | 1 | 260 | 32.15 |
Jung Won Kang | 2 | 166 | 12.60 |
Jeong-Ju Yoo | 3 | 33 | 4.31 |
Yong Man Ro | 4 | 1192 | 125.87 |