1. Brunel University Research Archive
  2. College of Engineering, Design and Physical Sciences
  3. Dept of Electronic and Electrical Engineering
  4. Dept of Electronic and Electrical Engineering Research Papers
Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3627
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHay, J-
dc.contributor.authorLoo, KK-
dc.coverage.spatial2en
dc.date.accessioned2009-09-23T12:49:53Z-
dc.date.available2009-09-23T12:49:53Z-
dc.date.issued2006-
dc.identifier.citationElectronics Letters 42(15): 854-856, Jul 2006en
dc.identifier.issn0013-5194-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/3627-
dc.description.abstractThe 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.extent141509 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherIEEEen
dc.relation.ispartof42;15-
dc.subjectEvolutionary strategyen
dc.subjectMotion estimationen
dc.subjectSearch strategyen
dc.subjectFast block motion estimationen
dc.titleEvolutionary strategy search algorithm for fast block motion estimationen
dc.typeResearch Paperen
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Electrical Engineering Research Papers

Files in This Item:
File Description SizeFormat 
J31.pdf138.19 kBAdobe PDFView/Open
Show simple item record


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