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Volume 38 Issue 10
Oct.  2016
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Article Contents
Xu Shao-Kun, Liu Ji-Hong, Yuan Xiang-Yu, Lu Jing. Two Dimensional Geometric Feature Inversion Method for Midcourse Target Based on ISAR Image[J]. Journal of Electronics & Information Technology, 2015, 37(2): 339-345. doi: 10.11999/JEIT140338
Citation: ZHANG Hongbin, FU Changhong, SU Weimin, CHAN Yuilam, SIU Wanchi. Fast Coding Unit Decision Algorithm for Depth Intra Coding in 3D-HEVC[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2523-2530. doi: 10.11999/JEIT151426

Fast Coding Unit Decision Algorithm for Depth Intra Coding in 3D-HEVC

doi: 10.11999/JEIT151426
Funds:

The National Natural Science Foundation of China (61301109), The Natural Science Foundation of Jiangsu Province (BK2012395)

  • Received Date: 2015-12-17
  • Rev Recd Date: 2016-06-22
  • Publish Date: 2016-10-19
  • An efficient Coding Unit (CU) decision algorithm is proposed for depth intra coding, in which the depth level of CU is predicted by Corner-Point (CP) and the co-located texture CU. More specially, firstly, the CPs are obtained by corner detector in junction with the quantization parameter, which are further used to pre-allocate the depth level. After that, the refinement of pre-allocation depth level is performed by considering the block partition of the co-located texture. Finally, different depth search range is selected based on the final pre-allocation depth levels. Simulation results show that the proposed algorithm can provide about 63% time saving with maintaining coding performance compared with the original 3D-HEVC method. On the other hand, it can achieve about 13% time saving while the BD-rate 3% decreased over the CU decision method that only considers the texture information.
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