Abstract | ||
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This paper describes a scalable video codec that was submitted as a response to the joint call for proposals issued by ISO/IEC MPEG and ITU-T VCEG on HEVC scalable extension. The proposed codec uses a multi-loop decoding structure. Several inter-layer texture prediction methods are employed to remove the inter-layer redundancy. Inter-layer prediction is also used when coding enhancement layer syntax elements such as motion parameter and intra prediction mode, to further reduce bit overhead. Additionally, alternative transforms as well as adaptive coefficients scanning are used to code the prediction residues more efficiently. Experimental results are presented to demonstrate the effectiveness of the proposed scheme. When compared to HEVC single-layer coding, the additional rate overhead for the proposed scalable extension is 1.2% to 6.4% to achieve two layers of SNR and spatial scalability. |
Year | DOI | Venue |
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2013 | 10.1109/DCC.2013.27 | DCC |
Keywords | Field | DocType |
video codec,iso-iec mpeg,iso standards,proposed codec,prediction residue,inter-layer prediction,image scanners,motion parameter,interlayer texture prediction method,interlayer redundancy,intra prediction mode,inter-layer texture prediction method,additional rate overhead,intraprediction mode,coding enhancement layer syntax element,hevc,media streaming,proposed scheme,video coding,prediction theory,snr,scalable video coding,multiloop decoding structure,spatial scalability,proposed scalable extension,image texture,image enhancement,decoding,iec standards,hevc scalable extension,itu-t vceg,scalable video codec,video codecs,scalable video coding extension,image motion analysis,adaptive filters,encoding,scalability,codecs,signal to noise ratio | Computer science,Theoretical computer science,Coding (social sciences),Redundancy (engineering),Adaptive filter,Decoding methods,Codec,Scalability,Encoding (memory),Scalable Video Coding | Conference |
ISSN | ISBN | Citations |
1068-0314 | 978-1-4673-6037-1 | 8 |
PageRank | References | Authors |
0.76 | 3 | 12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jianle Chen | 1 | 194 | 21.11 |
Krishna Rapaka | 2 | 8 | 0.76 |
Xiang Li | 3 | 8 | 0.76 |
Vadim Seregin | 4 | 84 | 11.04 |
Liwei Guo | 5 | 69 | 12.14 |
Marta Karczewicz | 6 | 216 | 50.09 |
Geert Van Der Auwera | 7 | 259 | 15.34 |
Joel Sole | 8 | 21 | 3.75 |
Xianglin Wang | 9 | 16 | 2.20 |
Chengjie Tu | 10 | 76 | 8.46 |
Ying Chen | 11 | 174 | 15.59 |
Rajan L. Joshi | 12 | 103 | 7.31 |