Review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks

Link to publisher's homepage at http://ieeexplore.ieee.org/

Saved in:
Bibliographic Details
Main Authors: Cheong, Seong Chee, Asral, Bahari Jambek, Razaidi, Hussin
Other Authors: s calvin_cheong2003@yahoo.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26521
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Perlis
Language: English
id my.unimap-26521
record_format dspace
spelling my.unimap-265212013-07-09T01:49:23Z Review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks Cheong, Seong Chee Asral, Bahari Jambek Razaidi, Hussin s calvin_cheong2003@yahoo.com asral@unimap.edu.my shidee@unimap.edu.my Block matching Motion estimation Wireless video sensor networks Link to publisher's homepage at http://ieeexplore.ieee.org/ This paper reviews the energy efficiency of several popular block-matching motion estimation algorithms that can be used in wireless video sensor network applications. Full search motion estimation provides the best image quality but requires high computing power. Therefore, only fast search algorithms are considered for deployment in wireless video sensor networks, which generally operate in remote, battery-constrained areas. However, the image quality of fast search algorithms also needs to be considered in the comparison. In this paper, those block-matching algorithms are compared using two criteria: 1) computing cost/energy consumption, and 2) image quality. The purpose of this review is to select the most energy efficient algorithm that retains image quality and can be applied to wireless video sensor network video compression applications. 2013-07-09T01:49:23Z 2013-07-09T01:49:23Z 2012-03-18 Working Paper p. 241-246 978-146731685-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6222702 http://hdl.handle.net/123456789/26521 en Proceedings of the IEEE Symposium on Computers and Informatics (ISCI 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Block matching
Motion estimation
Wireless video sensor networks
spellingShingle Block matching
Motion estimation
Wireless video sensor networks
Cheong, Seong Chee
Asral, Bahari Jambek
Razaidi, Hussin
Review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 s calvin_cheong2003@yahoo.com
author_facet s calvin_cheong2003@yahoo.com
Cheong, Seong Chee
Asral, Bahari Jambek
Razaidi, Hussin
format Working Paper
author Cheong, Seong Chee
Asral, Bahari Jambek
Razaidi, Hussin
author_sort Cheong, Seong Chee
title Review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks
title_short Review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks
title_full Review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks
title_fullStr Review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks
title_full_unstemmed Review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks
title_sort review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/26521
_version_ 1643794972303949824