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dc.contributor.authorCheong, Seong Chee
dc.contributor.authorAsral, Bahari Jambek
dc.contributor.authorRazaidi, Hussin
dc.date.accessioned2013-07-09T01:49:23Z
dc.date.available2013-07-09T01:49:23Z
dc.date.issued2012-03-18
dc.identifier.citationp. 241-246en_US
dc.identifier.isbn978-146731685-9
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6222702
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/26521
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the IEEE Symposium on Computers and Informatics (ISCI 2012)en_US
dc.subjectBlock matchingen_US
dc.subjectMotion estimationen_US
dc.subjectWireless video sensor networksen_US
dc.titleReview of energy efficient block-matching motion estimation algorithms for wireless video sensor networksen_US
dc.typeWorking Paperen_US
dc.contributor.urls calvin_cheong2003@yahoo.comen_US
dc.contributor.urlasral@unimap.edu.myen_US
dc.contributor.urlshidee@unimap.edu.myen_US


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