Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/68260
Title: Adaptive search range for HEVC motion estimation based on depth information
Authors: Lee, TK
Chan, YL 
Siu, WC 
Keywords: Adaptive search range
High efficiency video coding
Motion estimation
Multiview video plus depth
Video coding
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on circuits and systems for video technology, 2016, v. PP, no. 99, p. 1-15 How to cite?
Journal: IEEE transactions on circuits and systems for video technology 
Abstract: High Efficient Video Coding (HEVC) achieves twofold coding efficiency improvement compared to its predecessor H.264/MPEG-4 AVC. However, it suffers from high computational complexity due to its quad-tree structure in motion estimation. This paper exposes the usage of depth maps in the multiview video plus depth format for relieving the computational burden. The depth map provides an intimation of the objects’ distance from the projected screen in a 3D scene, which is explored in adaptive search range determination in this paper. The proposed algorithm exploits the high temporal correlation between the depth map and the motion in texture. By utilizing this correlation, a depth/motion relationship map is built for a mapping process. For each block, this forms a tailor-made search range with a motion-aware asymmetric shape to skip unnecessary search points in motion estimation. The obtained search range can be further adjusted by taking the influence of 3D-to-2D projection into consideration. Simulation results reveal that, compared to the full search approach, the proposed algorithm can reduce the complexity by 93% on average whereas the coding efficiency can be maintained. Besides, the proposed search range determination can work well with other fast search motion estimation algorithms in the literature.
URI: http://hdl.handle.net/10397/68260
ISSN: 1051-8215
EISSN: 1558-2205
DOI: 10.1109/TCSVT.2016.2583979
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

2
Last Week
0
Last month
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.