Abstract | ||
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•Detailed statistical analysis to highlight unique characteristics of light fields coded data.•Fast HEVC encoding of light fields in different representation formats using Random Forests.•Score fusion approach for selection of optimal features for training of classifier models.•Early prediction of SKIP mode and CU depth levels in HEVC encoding of light fields. |
Year | DOI | Venue |
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2020 | 10.1016/j.jvcir.2019.102742 | Journal of Visual Communication and Image Representation |
Keywords | DocType | Volume |
Light fields,HEVC,Fast encoding,Machine learning,Random forests | Journal | 66 |
ISSN | Citations | PageRank |
1047-3203 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Muhammad Tahir | 1 | 258 | 40.42 |
Imtiaz A. Taj | 2 | 30 | 7.29 |
Pedro A. Amado Assunção | 3 | 200 | 56.53 |
Muhammad Asif | 4 | 148 | 44.17 |