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Conference Paper: Hierarchical motion estimation based on visual patterns for video coding

TitleHierarchical motion estimation based on visual patterns for video coding
Authors
KeywordsEngineering
Electrical engineering
Issue Date1996
PublisherIEEE.
Citation
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1996, v. 4, p. 2323-2326 How to Cite?
AbstractBlock matching algorithms(BMAs) are often employed for motion estimation(ME) in video coding. Most conventional fast BMAs treat the ME problem as an optimization problem and suffer heavily from the problem of being trapped at local minima. The full search algorithm(FS), on the other hand, is very time-consuming. Few of them makes use of the information inherent in the images explicitly. We propose a new ME algorithm which can reduce the search range while guaranteeing global optimality in most cases, making use of the edge features. Microblock visual patterns are designed to extract edge information to guide block matching: searching is only carried out at places where the real match most likely happens. The motion field subsampling technique is further employed to get a hierarchical algorithm, which can further double the speed. The proposed algorithms obtain speeds about ten times faster than that of FS with comparable prediction quality.
Persistent Identifierhttp://hdl.handle.net/10722/45563
ISSN

 

DC FieldValueLanguage
dc.contributor.authorZhong, Shengen_HK
dc.contributor.authorChin, Francisen_HK
dc.contributor.authorCheung, YSen_HK
dc.contributor.authorKwan, Dougen_HK
dc.date.accessioned2007-10-30T06:29:15Z-
dc.date.available2007-10-30T06:29:15Z-
dc.date.issued1996en_HK
dc.identifier.citationIcassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1996, v. 4, p. 2323-2326en_HK
dc.identifier.issn0736-7791en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45563-
dc.description.abstractBlock matching algorithms(BMAs) are often employed for motion estimation(ME) in video coding. Most conventional fast BMAs treat the ME problem as an optimization problem and suffer heavily from the problem of being trapped at local minima. The full search algorithm(FS), on the other hand, is very time-consuming. Few of them makes use of the information inherent in the images explicitly. We propose a new ME algorithm which can reduce the search range while guaranteeing global optimality in most cases, making use of the edge features. Microblock visual patterns are designed to extract edge information to guide block matching: searching is only carried out at places where the real match most likely happens. The motion field subsampling technique is further employed to get a hierarchical algorithm, which can further double the speed. The proposed algorithms obtain speeds about ten times faster than that of FS with comparable prediction quality.en_HK
dc.format.extent659095 bytes-
dc.format.extent5052 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_HK
dc.rights©1996 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.subjectEngineeringen_HK
dc.subjectElectrical engineeringen_HK
dc.titleHierarchical motion estimation based on visual patterns for video codingen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1520-6149&volume=4&spage=2323&epage=2326&date=1996&atitle=Hierarchical+motion+estimation+based+on+visual+patterns+for+video+codingen_HK
dc.identifier.emailChin, Francis:chin@cs.hku.hken_HK
dc.identifier.emailCheung, YS:paul.cheung@hku.hken_HK
dc.identifier.authorityChin, Francis=rp00105en_HK
dc.identifier.authorityCheung, YS=rp00077en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICASSP.1996.547747en_HK
dc.identifier.scopuseid_2-s2.0-0029746335en_HK
dc.identifier.hkuros13540-
dc.identifier.volume4en_HK
dc.identifier.spage2323en_HK
dc.identifier.epage2326en_HK
dc.identifier.scopusauthoridZhong, Sheng=55223827800en_HK
dc.identifier.scopusauthoridChin, Francis=7005101915en_HK
dc.identifier.scopusauthoridCheung, YS=7202595335en_HK
dc.identifier.scopusauthoridKwan, Doug=7003387945en_HK

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