Fast depth intra coding based on spatial correlation and rate distortion cost in 3D-HEVC

作者：

Highlights：

• To reduce the computation burden, a complexity reduction scheme for depth map based on spatial correlation and the rate-distortion cost is proposed.

• Firstly, A maximum depth layer decision algorithm is proposed to predict the maximum depth layer (MDL) of each CTU accurately. The initial thresholds for different MDL are designed based on the frequency distribution characteristics (FDC) of the J0 under allowable false rate (FR). An exponential relationship between the thresholds and QP is discovered.

• Secondly, A fast depth intra mode decision algorithm is proposed to skip unnecessary prediction modes. Considering the spatial correlation, the mode-skipping threshold THst is designed based on the FDC of the RDcost JORM of the ORM in RMD to skip angular modes and DMMs. An exponential model is built to represent the relationship between the THst and QP.

• Finally, a fast wedgelet pattern decision method based on K-Means is developed to reduce the complexity of DMM1.

摘要

•To reduce the computation burden, a complexity reduction scheme for depth map based on spatial correlation and the rate-distortion cost is proposed.•Firstly, A maximum depth layer decision algorithm is proposed to predict the maximum depth layer (MDL) of each CTU accurately. The initial thresholds for different MDL are designed based on the frequency distribution characteristics (FDC) of the J0 under allowable false rate (FR). An exponential relationship between the thresholds and QP is discovered.•Secondly, A fast depth intra mode decision algorithm is proposed to skip unnecessary prediction modes. Considering the spatial correlation, the mode-skipping threshold THst is designed based on the FDC of the RDcost JORM of the ORM in RMD to skip angular modes and DMMs. An exponential model is built to represent the relationship between the THst and QP.•Finally, a fast wedgelet pattern decision method based on K-Means is developed to reduce the complexity of DMM1.

论文关键词：3D-HEVC,Depth intra coding,Depth map,Fast algorithm,Spatial correlation

论文评审过程：Received 8 April 2019, Revised 15 October 2019, Accepted 15 October 2019, Available online 24 October 2019, Version of Record 1 November 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.115668