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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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