Review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks
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| Format: | Working Paper |
| Language: | en |
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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| Online Access: | http://dspace.unimap.edu.my/123456789/26521 |
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| _version_ | 1837051074760933376 |
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| author | Cheong, Seong Chee Asral, Bahari Jambek Razaidi, Hussin |
| author2 | s calvin_cheong2003@yahoo.com |
| author_facet | s calvin_cheong2003@yahoo.com Cheong, Seong Chee Asral, Bahari Jambek Razaidi, Hussin |
| author_sort | Cheong, Seong Chee |
| building | UniMAP Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Perlis |
| content_source | UniMAP Library Digital Repository |
| continent | Asia |
| country | Malaysia |
| description | Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| format | Working Paper |
| id | my.unimap-26521 |
| institution | Universiti Malaysia Perlis |
| language | en |
| publishDate | 2013 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| 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://dspace.unimap.edu.my/123456789/26521 en Proceedings of the IEEE Symposium on Computers and Informatics (ISCI 2012) Institute of Electrical and Electronics Engineers (IEEE) |
| 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 |
| title | 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_short | 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 |
| topic | Block matching Motion estimation Wireless video sensor networks |
| url | http://dspace.unimap.edu.my/123456789/26521 |
| url_provider | http://dspace.unimap.edu.my/ |