Abstract | ||
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The scalable video coding extends the H.264/AVC video coding standard by providing temporal, spatial and quality scalability. A set of new tools, such as key picture and inter-layer prediction are introduced in SVC to improve either rate-distortion performance or error resilience. This paper evaluates the impact of these tools on the performance of an optimized SVC decoder, in terms of rate, distortion, and computational complexity. The results facilitate the decision making process of choosing suitable SVC configurations under different application scenarios. |
Year | DOI | Venue |
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2009 | 10.1109/ICME.2009.5202474 | ICME |
Keywords | Field | DocType |
suitable svc configuration,decoder,inter-layer prediction,avc video,decision making,rate-distortion-complexity performance analysis,error resilience,h.264-avc video coding standard,different application scenario,scalable video coding,computational complexity,key picture,video coding,optimized svc decoder,code standards,svc decoder,decoding,rate distortion theory,decision making process,rate-distortion performance,rate-distortion-complexity,encoding,scalability | Computer science,Coding (social sciences),Real-time computing,Decoding methods,Distortion,Rate–distortion theory,Scalable Video Coding,Scalability,Computational complexity theory,Encoding (memory) | Conference |
ISSN | ISBN | Citations |
1945-7871 E-ISBN : 978-1-4244-1291-1 | 978-1-4244-1291-1 | 1 |
PageRank | References | Authors |
0.36 | 3 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tong Gan | 1 | 6 | 1.57 |
Bart Masschelein | 2 | 39 | 2.51 |
Carolina Blanch | 3 | 27 | 3.09 |
Antoine Dejonghe | 4 | 309 | 30.25 |
Kristof Denolf | 5 | 92 | 8.40 |