Please use this identifier to cite or link to this item:
Title: Adaptive search range by neighbouring depth intensity weighted sum for HEVC texture coding
Author(s): Siu, Wan Chi 
Author(s): Lee, T. K.
Chan, Y.-L.
Issue Date: 2016
Publisher: The Institution of Engineering and Technology
Journal: Electronics Letters 
Volume: 52
Issue: 12
Start page: 1018
End page: 1020
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.
DOI: 10.1049/el.2016.0261
CIHE Affiliated Publication: No
Appears in Collections:CIS Publication

Files in This Item:
File Description SizeFormat
View Online123 BHTMLView/Open
SFX Query Show full item record

Google ScholarTM




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