Evolutionary strategy search algorithm for fast block motion estimation

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3627

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DC Field	Value	Language
dc.contributor.author	Hay, J	-
dc.contributor.author	Loo, KK	-
dc.coverage.spatial	2	en
dc.date.accessioned	2009-09-23T12:49:53Z	-
dc.date.available	2009-09-23T12:49:53Z	-
dc.date.issued	2006	-
dc.identifier.citation	Electronics Letters 42(15): 854-856, Jul 2006	en
dc.identifier.issn	0013-5194	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/3627	-
dc.description.abstract	The evolutionary strategy search (ESS) algorithm is a novel method for implementing fast block motion estimation (ME) using evolutionary strategy (ES). ESS uses a combination of ideas based on existing search strategies and employs a novel (1þsl) ES implementation. It is essentially a succession of random searches, but by controlling the placement and distribution of these searches in a simple way, it proves possible to achieve comparable motion vector accuracy to the more established ME strategies, but with enhanced convergence speed.	en
dc.format.extent	141509 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.relation.ispartof	42;15	-
dc.subject	Evolutionary strategy	en
dc.subject	Motion estimation	en
dc.subject	Search strategy	en
dc.subject	Fast block motion estimation	en
dc.title	Evolutionary strategy search algorithm for fast block motion estimation	en
dc.type	Research Paper	en
Appears in Collections:	Electronic and Electrical Engineering Dept of Electronic and Electrical Engineering Research Papers

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