Abstract | ||
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Complexity of multiview coding is proportional to the number of cameras. It makes difficult to implement multiview sequences in real applications. Thus, we propose a fast mode decision algorithm for both intra and inter prediction to reduce the computational complexity of H.264/AVC for depth video coding. By analyzing the depth variation, we classify the depth video into depth-continuity and depth-discontinuity regions. We determine a threshold value for classifying these regions by experiments. Since the depth-continuity region has an imbalance in the mode distribution, we limit the mode candidates. Experimental results show that our proposed algorithm reduces the encoding time by up to 78% and 84% for the intra and inter frames, respectively, with negligible PSNR loss and slight bit-rate increase, compared to JMVC 8.3. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-25346-1_3 | PSIVT (2) |
Keywords | Field | DocType |
fast mode decision algorithm,inter prediction,video system,depth video,depth-continuity region,computational complexity,mode distribution,mode candidate,depth video coding,inter frame,depth variation | Context-adaptive variable-length coding,Computer science,Multiview Video Coding,Coding (social sciences),Artificial intelligence,Scalable Video Coding,Context-adaptive binary arithmetic coding,Computer vision,Coding tree unit,Pattern recognition,Algorithm,Computational complexity theory,Encoding (memory) | Conference |
Volume | ISSN | Citations |
7088 | 0302-9743 | 3 |
PageRank | References | Authors |
0.40 | 3 | 2 |
Name | Order | Citations | PageRank |
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Da-Hyun Yoon | 1 | 6 | 0.83 |
Yo-Sung Ho | 2 | 1288 | 146.57 |