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Zenodo
2022
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| Online Access: | https://doi.org/10.5281/zenodo.15586033 |
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| author | Mosbah, Sonia Sebai, Dorsaf Ghorbel, Faouzi |
| author_facet | Mosbah, Sonia Sebai, Dorsaf Ghorbel, Faouzi |
| contents | <p>SHVC, the scalable extension of the HEVC standard, combines the large compression efficiency of this latter with the possibility of encoding different versions of the same<br>video in one bitstream. However, this comes at the cost of a high execution time. In this<br>paper, we aim to reduce this complexity for depth maps that are distinguished from texture<br>images by their inherent characteristics. Depth maps are, indeed, characterized by areas of<br>smoothly varying grey levels separated by sharp discontinuities at object boundaries. We<br>typically propose to exploit the strong SHVC interlayer correlation in terms of coding units<br>sizes in depth smooth regions. Experimental results confirm that the proposed method significantly reduces the execution time of the SHVC encoder, while introducing a negligible<br>quality loss.<br>Key words Depth maps, SHVC, Quality scalability, Coding Tree Unit, synthesized views,<br>complexity</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15586033 |
| institution | Zenodo |
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| publishDate | 2022 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Reduction of SHVC complexity for depth maps Mosbah, Sonia Sebai, Dorsaf Ghorbel, Faouzi <p>SHVC, the scalable extension of the HEVC standard, combines the large compression efficiency of this latter with the possibility of encoding different versions of the same<br>video in one bitstream. However, this comes at the cost of a high execution time. In this<br>paper, we aim to reduce this complexity for depth maps that are distinguished from texture<br>images by their inherent characteristics. Depth maps are, indeed, characterized by areas of<br>smoothly varying grey levels separated by sharp discontinuities at object boundaries. We<br>typically propose to exploit the strong SHVC interlayer correlation in terms of coding units<br>sizes in depth smooth regions. Experimental results confirm that the proposed method significantly reduces the execution time of the SHVC encoder, while introducing a negligible<br>quality loss.<br>Key words Depth maps, SHVC, Quality scalability, Coding Tree Unit, synthesized views,<br>complexity</p> |
| title | Reduction of SHVC complexity for depth maps |
| url | https://doi.org/10.5281/zenodo.15586033 |