Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/78195
Title: Depth modelling mode decision for depth intra coding via good feature
Authors: Fu, CH 
Zhao, YW
Zhang, HB 
Chan, YL 
Siu, WC 
Keywords: 3D-HEVC
Corner point
Depth map
Intra prediction
Multi-view video plus depth
Issue Date: 2018
Publisher: IEEE Computer Society
Source: Proceedings of the International Conference on Image Processing, ICIP, v. 2017-September, p. 4018-4022 How to cite?
Abstract: The depth modelling modes (DMM) and 35 conventional intra modes (CHIMs) introduced in 3D-HEVC results in unacceptable huge complexity of depth intra coding. However, some redundancy between DMM and CHIMs could be avoided to accelerate the process. In this paper, a good feature-corner point (CP) is proposed to evaluate the orientation of edge in a given prediction unit (PU), by which a binary classifier is created. We further investigate the probability distribution of DMM, which is selected as the optimal intra mode in each category. According to the statistical analysis, the skipping of DMM decision is proposed to eliminate the cases which have been predicted well by CHIMs. The experimental results show that, compared with the test model HTM-13.0 of 3D-HEVC, the proposed algorithm can yield about 17% time reduction for depth intra coding with almost no degradation in coding performance.
Description: 24th IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, 17-20 Sep 2017
URI: http://hdl.handle.net/10397/78195
ISBN: 9781509021758
DOI: 10.1109/ICIP.2017.8297037
Appears in Collections:Conference Paper

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