深度图的快速自适应帧内预测模式选择算法

doi:10.3969/j.issn.1007-2861.2014.03.015

Abstract

Abstract: In the high efficiency video code (HEVC) based depth video coding in 3D video coding, depth modeling mode (DMM) and a region boundary chain (RBC) mode
are introduced. DMM traverses all Wedgelet patterns in the current coding unit (CU) to get the best prediction pattern. Encoding efficiency is improved significantly by these added technologies. Computation complexity is increased significantly, hindering its practical application. To reduce computation complexity, a fast depth mode decision algorithm is proposed for depth video coding based on correlation between the most probable mode and DMM and RBC mode. The proposed method divides coding blocks into flat blocks, directional blocks and texture-complicated blocks. Redundant DMM and RBC mode are
skipped for flat blocks. Explicit Wedgelet search patterns are skipped for directional blocks based on directivity of non-flat blocks. Experimental results show that the proposed algorithm can reduce computational complexity of depth coding by 75.4% for all-intra test case, with BD-rate increase of only 0.4% after decoder-side view synthesis.

Key words: depth map, depth modeling mode (DMM), fast algorithm, mode decision

CLC Number:

TN 919.81

SI Xiao-hua, WANG Guo-zhong, ZHAO Hai-wu, LI Guo-ping, TENG Guo-wei. Self-adaptive fast mode decision algorithm for depth map intra coding[J]. Journal of Shanghai University（Natural Science Edition）, 2015, 21(2): 197-205.

References

[1] Rusanovskyy D, Chen F C, Zhang L. 3D-AVC test model 7 [C]// ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11 8th Meeting, JCT3V. 2013: E1003.

[2] Zhang L, Tech G, Wegner K, et al. 3D-HEVC test model 5 [C]// ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11 8th Meeting, JCT3V. 2013: E1005.

[3] 胡锦雯, 滕国伟, 成益龙, 等. 基于运动特征的HEVC 快速帧间预测算法[J]. 上海大学学报: 自然科学版, 2013, 19(3): 245-249.

[4] Jager F, Ball´e J. Median trilateral loop filter for depth map video coding [C]// Picture Coding Symposium (PCS). 2012: 61-64.

[5] Liu S, Lai P L, Tian D, et al. New depth coding techniques with utilization of corresponding video [J]. IEEE Transactions on Broadcasting, 2011, 57(2): 551-561.

[6] Merkle P, Morvan Y, Smolic A, et al. The effects of multiview depth video compression on multiview rendering [J]. Signal Processing: Image Communication, 2009, 24(1): 73-88.

[7] Fehn C. Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV [C]// Electronic Imaging 2004, International Society for Optics and

Photonics. 2004: 93-104.

[8] Oh B, Lee J, Park D. Depth map coding based on synthesized view distortion function [J]. IEEE Journal of Selected Topics in Signal Processing, 2011, 5(7): 1344-1352.

[9] Philipp M, Karsten M. CE5.H: results on DMM and RBC depth intra modes performance (Test 1) [C]// ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11 8th Meeting, JCT3V.

2013: E0120.

[10] Gu Z Y, Zheng J H, Ling N, et al. 3D-CE5.H related: fast intra prediction mode selection for intra depth map coding [C]// ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11 8th

Meeting, JCT3V. 2013: E0238.

[11] Zhang M, Zhao C, Xu J, et al. A fast depth-map wedgelet partitioning scheme for intra prediction in 3D video coding [C]// IEEE International Symposium on Circuits and Systems.

2013: 2852-2855.

[12] M¨uller K, Merkle P, Tech G, et al. 3D video coding with depth modeling modes and view synthesis optimization [C]// Signal & Information Processing Association Annual Summit and

Conference. 2012: 1-4.

[13] Han G J, Ohm J R, Han W J, et al. Overview of the high efficiency video coding (HEVC) standard [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2012, 22(12):

1649-1668.

[14] Bjontegaard G. Improvements of the BD-PSNR model [C]// 35th VCEG Meeting. 2008: 16-18.

[15] Rusanovskyy D, M¨uller K, Vetro A. Common test conditions of 3DV core experiments [C]// ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11 8th Meeting, JCT3V. 2013: E1100.

Self-adaptive fast mode decision algorithm for depth map intra coding

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