Fast Depth Intra Coding Based on Decision Tree in 3D-HEVC

The coding units (CU) partitioning in the 3D extension of the high efficiency video coding standard (3D-HEVC) is recursively conducted on different block sizes from <inline-formula> <tex-math notation="LaTeX">$64\times 64$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$8\times 8$ </tex-math></inline-formula>. Besides, the depth coding in 3D-HEVC introduces several new coding tools for each CU to improve the coding efficiency, however, with great computational complexity. It is noted that only a small number of the CUs in recursive partitioning are encoded into the final bitstream. Among these CUs, the CUs with Intra <inline-formula> <tex-math notation="LaTeX">$2\text{N}\times2\text{N}$ </tex-math></inline-formula> or Intra N <inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> N as optimal modes have a very small proportion. In this paper, we thus propose an early determination of depth intra coding, where the coding stage of Intra <inline-formula> <tex-math notation="LaTeX">$2\text{N}\times2\text{N}$ </tex-math></inline-formula>, Intra N <inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> N or CU Splitting for the CUs could be early skipped based on several Decision Trees. Simulation results show that, with restrict the results from the tree leaves by different Gini thresholds, the proposed algorithm could save 41.14%–71.63% of the depth coding time with only a slight increase in BDBR.

[1]  Xiaojing Duan,et al.  Decision tree based fast CU partition for HEVC lossless compression of medical image sequences , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).

[2]  César A. M. Marcon,et al.  A reduced computational effort mode-level scheme for 3D-HEVC depth maps intra-frame prediction , 2018, J. Vis. Commun. Image Represent..

[3]  Gustavo Sanchez,et al.  Block-level fast coding scheme for depth maps in three-dimensional high efficiency video coding , 2018 .

[4]  Yong Gan,et al.  Fast intra mode decision for depth coding in 3D-HEVC , 2017, Multidimens. Syst. Signal Process..

[5]  César A. M. Marcon,et al.  Depth modeling modes complexity control system for the 3D-HEVC video encoder , 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

[6]  David A. Landgrebe,et al.  A survey of decision tree classifier methodology , 1991, IEEE Trans. Syst. Man Cybern..

[7]  Marta Mrak,et al.  Decision Trees for Complexity Reduction in Video Compression , 2019, 2019 IEEE International Conference on Image Processing (ICIP).

[8]  Chun-Su Park,et al.  Edge-Based Intramode Selection for Depth-Map Coding in 3D-HEVC , 2015, IEEE Transactions on Image Processing.

[9]  G. Bjontegaard,et al.  Calculation of Average PSNR Differences between RD-curves , 2001 .

[10]  Béatrice Pesquet-Popescu,et al.  Initialization, Limitation, and Predictive Coding of the Depth and Texture Quadtree in 3D-HEVC , 2014, IEEE Transactions on Circuits and Systems for Video Technology.

[11]  Guilherme Corrêa,et al.  Learning-Based Complexity Reduction and Scaling for HEVC Encoders , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[12]  NebutaFestival,et al.  Fast HEVC Encoding Decisions Using Data Mining , 2022 .

[13]  Nam Ling,et al.  Fast single depth intra mode decision for depth map coding in 3D-HEVC , 2015, 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

[14]  Yui-Lam Chan,et al.  Adaptive fast intra mode decision of depth map coding by Low Complexity RD-Cost in 3D-HEVC , 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).

[15]  Jing Chen,et al.  Bi-Layer Texture Discriminant Fast Depth Intra Coding for 3D-HEVC , 2019, IEEE Access.

[16]  Hao Chen,et al.  Early Intra Block Partition Decision for Depth Maps in 3D-HEVC , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

[17]  Zhan Ma,et al.  Fast Mode and Partition Decision Using Machine Learning for Intra-Frame Coding in HEVC Screen Content Coding Extension , 2016, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[18]  Guorui Feng,et al.  Efficient Intra Mode Selection for Depth-Map Coding Utilizing Spatiotemporal, Inter-Component and Inter-View Correlations in 3D-HEVC , 2018, IEEE Transactions on Image Processing.

[19]  Yui-Lam Chan,et al.  Depth modelling mode decision for depth intra coding via good feature , 2017, 2017 IEEE International Conference on Image Processing (ICIP).

[20]  Yui-Lam Chan,et al.  Probability-Based Depth Intra-Mode Skipping Strategy and Novel VSO Metric for DMM Decision in 3D-HEVC , 2018, IEEE Transactions on Circuits and Systems for Video Technology.