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Conference Paper: A Novel And Fast Feature Based Motion estimation ALgorithm Through extraction Of Background And Object

TitleA Novel And Fast Feature Based Motion estimation ALgorithm Through extraction Of Background And Object
Authors
KeywordsElectronics
Issue Date1998
PublisherIEEE.
Citation
IEEE International Symposium on Circuits and Systems Proceedings, Monterey, California, USA, 31 May - 3 June 1998, v. 4, p. 138-141 How to Cite?
AbstractThis paper presents a novel and fast Feature Based Motion Estimation algorithm which is developed for typical video-phone scenario. In essence it combines the technique of object extraction with traditional block based motion estimation methods by estimating the background and extracting the moving object continuously in the first stage, then performs a block based motion estimation on the extracted. Simulation of the algorithm with full search as core shows that the estimation time can be reduced by as much as 50%, while the MSE and PSNR remain almost the same as the full search results.
Persistent Identifierhttp://hdl.handle.net/10722/46063
ISSN

 

DC FieldValueLanguage
dc.contributor.authorYung, NHCen_HK
dc.contributor.authorMok, WHen_HK
dc.date.accessioned2007-10-30T06:41:44Z-
dc.date.available2007-10-30T06:41:44Z-
dc.date.issued1998en_HK
dc.identifier.citationIEEE International Symposium on Circuits and Systems Proceedings, Monterey, California, USA, 31 May - 3 June 1998, v. 4, p. 138-141en_HK
dc.identifier.issn0271-4302en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46063-
dc.description.abstractThis paper presents a novel and fast Feature Based Motion Estimation algorithm which is developed for typical video-phone scenario. In essence it combines the technique of object extraction with traditional block based motion estimation methods by estimating the background and extracting the moving object continuously in the first stage, then performs a block based motion estimation on the extracted. Simulation of the algorithm with full search as core shows that the estimation time can be reduced by as much as 50%, while the MSE and PSNR remain almost the same as the full search results.en_HK
dc.format.extent526673 bytes-
dc.format.extent10863 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rights©1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectElectronicsen_HK
dc.titleA Novel And Fast Feature Based Motion estimation ALgorithm Through extraction Of Background And Objecten_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0271-4302&volume=4&spage=138&epage=141&date=1998&atitle=A+Novel+And+Fast+Feature+Based+Motion+estimation+ALgorithm+Through+extraction+Of+Background+And+Objecten_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ISCAS.1998.698778en_HK
dc.identifier.hkuros36806-

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