Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33998
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorChan, YL-
dc.creatorSiu, WC-
dc.date.accessioned2014-12-19T04:14:08Z-
dc.date.available2014-12-19T04:14:08Z-
dc.identifier.issn0736-7791-
dc.identifier.urihttp://hdl.handle.net/10397/33998-
dc.descriptionProceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5), Detroit, MI, USA, 9-12 May 1995en_US
dc.language.isoenen_US
dc.titleNew block motion vector estimation using adaptive pixel decimationen_US
dc.typeConference Paperen_US
dc.identifier.spage2257-
dc.identifier.epage2260-
dc.identifier.volume4-
dcterms.abstractA new adaptive technique based on pixel decimation for estimating motion vector is presented. In traditional approach, a uniform pixel decimation is used. Since some pixels in each block do not enter into the matching criterion, this approach might limit the accuracy of the motion vector. In this paper, we select the most representative pixels based on image content in each block for the matching criterion. This is due to the fact that high activity in the luminance signal such as edges and texture contributes mainly to the matching criterion. Our approach can compensate the drawback in standard pixel decimation techniques. Computer simulations show that this technique is close to the performance of the exhaustive search with a significant reduction on computational complexity.-
dcterms.bibliographicCitationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1995, v. 4, p. 2257-2260-
dcterms.issued1995-
dc.identifier.scopus2-s2.0-0028996712-
dc.relation.ispartofbookICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings-
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