A fast wedgelet partitioning for depth map prediction in 3D-HEVC

WeiXin Yao; XiaoXue Wang; Dan Yang; Wei Li

doi:10.1117/12.2589348

27 January 2021 A fast wedgelet partitioning for depth map prediction in 3D-HEVC

WeiXin Yao, XiaoXue Wang, Dan Yang, Wei Li

Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 117200X (2021) https://doi.org/10.1117/12.2589348
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China

Abstract

Conventional intra coding is retained in depth map prediction while depth modeling mode is introduced. Depth map intra coding has a heavy computational burden. Depth modeling mode can be omitted based on DC or Planar mode with the minimum sum of absolutely transform distortion. According to the relationship between angle mode and wedgelet orientation, the wedgelet direction is roughly selected. We make use of boundary gradient method to choose wedgelet pattern segmentation. The experimental results introduce that synthetic viewpoint bit rate increases by 0.62% and the encoding time decreases by 30.1% compared with HTM16.0. Compared with other algorithms, the time saving is slightly higher than other algorithms.

Citation Download Citation

WeiXin Yao, XiaoXue Wang, Dan Yang, and Wei Li "A fast wedgelet partitioning for depth map prediction in 3D-HEVC", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 117200X (27 January 2021); https://doi.org/10.1117/12.2589348

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