Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61623
Title: Adaptive search range by neighbouring depth intensity weighted sum for HEVC texture coding
Authors: Lee, TK
Chan, YL 
Siu, WC 
Issue Date: 2016
Publisher: Institution of Engineering and Technology
Source: Electronics letters, 2016, v. 52, no. 12, p. 1018-1020 How to cite?
Journal: Electronics letters 
Abstract: High-efficiency video coding (HEVC) outperforms H.264/AVC by providing a bitrate reduction of about 50% while having almost the same perceptual quality. It adopts more flexible partitioning in motion estimation (ME) which gains higher coding efficiency at a cost of increased coding complexity. Depth maps in the emerging multi-view plus depth videos are exploited to adjust the search range in ME for HEVC complexity reduction. With the aid of depth intensity variations among neighbouring blocks, the proposed algorithm derives weights to the neighbouring blocks and establishes an adaptive search range according to the weighted sum of the motion vectors from the neighbouring blocks. Compared with the fast test zone (TZS) search in HEVC, the proposed algorithm saves 65% coding time in ME on average with insignificant rate-distortion degradation.
URI: http://hdl.handle.net/10397/61623
ISSN: 0013-5194
EISSN: 1350-911X
DOI: 10.1049/el.2016.0261
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

8
Last Week
0
Last month
Citations as of Dec 11, 2018

WEB OF SCIENCETM
Citations

7
Last Week
0
Last month
Citations as of Dec 8, 2018

Page view(s)

71
Last Week
0
Last month
Citations as of Dec 10, 2018

Google ScholarTM

Check

Altmetric


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