Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22246
Title: Motion estimation in low-delay hierarchical p-frame coding using motion vector composition
Authors: Lee, TK
Chan, YL 
Siu, WC 
Keywords: Distant reference pictures
Fast algorithm
H.264 standard
Low-delay hierarchical P structure
Motion estimation
Motion vector selection
Vector composition
Video coding
Issue Date: 2013
Publisher: Academic Press
Source: Journal of visual communication and image representation, 2013, v. 24, no. 8, p. 1243-1251 How to cite?
Journal: Journal of visual communication and image representation 
Abstract: Low-delay hierarchical prediction structure is currently adopted in various new video coding standards. The only hurdle of this structure is the need of motion estimation in distant reference frames. To maintain high coding efficiency, a large search range for motion estimation can improve the coding efficiency in distant reference pictures. Computational complexity will thus be increased dramatically. In this paper, a fast motion estimation scheme for a low-delay hierarchical P-frame structure is proposed. The proposed scheme adopts a motion vector composition strategy to expedite the motion estimation process for distant reference frames in the hierarchical P structure. In addition, a motion vector composition algorithm is tailor-made with the proposed hierarchical P coding scheme to further improve the coding efficiency. Simulation results show that the proposed scheme can deliver a remarkable complexity savings and coding efficiency improvement on coding a frame in low temporal layers of the hierarchical P structure.
URI: http://hdl.handle.net/10397/22246
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2013.08.011
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Oct 11, 2017

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
1
Citations as of Oct 18, 2017

Page view(s)

58
Last Week
1
Last month
Checked on Oct 23, 2017

Google ScholarTM

Check

Altmetric



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