Authors: Liming Chen; Zhaoqing Pan; Xiaokai Yi; Yajuan Zhang
Addresses: School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Computer and Software, Jiangsu Collaborative Innovation Centre on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Computer Science and Engineering, Hebei University of Technology, Tianjin 300401, China
Abstract: Since many advanced encoding techniques are introduced into the 3D-HEVC, it achieves higher encoding efficiency compared to HEVC. However, the encoding complexity of 3D-HEVC increases significantly when these high complexity coding techniques are used. In this paper, a new fast CU size decision algorithm based on texture-depth is proposed to reduce the depth map encoding complexity. Since there is strong correlation between texture and depth map, including motion characteristic and background region, both kinds of maps tend to choose the same CU depth as their best depth level. By building one-to-one match for collocated largest coding unit (LCU), the information of texture encoding can be used to predict the depth level of depth map. Experimental results have shown that the proposed method can achieve 41.89% time saving on average, with the negligible drop of 0.04 dB on BDPSNR and a small increase of 2.29% on BDBR.
Keywords: 3D-HEVC; early termination; CU split; PU mode; depth map.
International Journal of Computational Science and Engineering, 2019 Vol.20 No.3, pp.345 - 353
Received: 21 Aug 2017
Accepted: 24 Jan 2018
Published online: 28 Nov 2019 *