A Fast Mode Decision Algorithm Based on Depth Map and Spatial-Temporal Correlation for 3D HEVC
| Autor: | Ming-Chang Li, 李明璋 |
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| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 In recent years, multi-view videos attracted lots of attention in video coding communities. Compare to the traditional 2D videos, multi-view videos usually contain an additional information, the depth map, which stores the distance between scenes and the camera position. When coding multi-view videos, the depth map information can be utilized to further increase the coding efficiency as well as reducing the computational complexity. High Efficiency Video Coding (HEVC) is the latest standard of video coding organized by ITU-T Video Coding Experts Group (VCEG) and ISO/IEC Motion Picture Experts Group (MPEG). Three-Dimension High Efficiency Video Coding (3D HEVC), which is customized for the compression of multi-view videos, is one of the extensions of HEVC. Since both HEVC and 3D HEVC are designed to compress high-resolution videos, the coding units and coding modes are much larger and more complex than previous standards. Therefore, the overall executing time increases significantly than that of the previous standards. In order to apply 3D HEVC to practical applications, its inherent high complexity must be largely reduced. In this thesis, a fast mode decision algorithm for 3D HEVC is proposed based on spatial and temporal correlations and depth map information. According to the experimental result, the proposed algorithm can reduce about 60% executing time of the overall encoding process, and the loss in coding efficiency is negligible. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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