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Adaptive Multi-Pattern Fast Block-Matching Algorithm Based on Motion Classification Techniques

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Procesado Multimediaes
dc.contributor.authorGonzález Díaz, Iván
dc.contributor.authorFrutos-López, Manuel de
dc.contributor.authorSanz Rodríguez-Escalona, Sergio
dc.contributor.authorDíaz de María, Fernando
dc.date.accessioned2008-03-14T12:41:24Z
dc.date.available2008-03-14T12:41:24Z
dc.date.issued2007
dc.description.abstractMotion estimation is the most time-consuming subsystem in a video codec. Thus, more efficient methods of motion estimation should be investigated. Real video sequences usually exhibit a wide-range of motion content as well as different degrees of detail, which become particularly difficult to manage by typical block-matching algorithms. Recent developments in the area of motion estimation have focused on the adaptation to video contents. Adaptive thresholds and multi-pattern search algorithms have shown to achieve good performance when they success to adjust to motion characteristics. This paper proposes an adaptive algorithm, called MCS, that makes use of an especially tailored classifier that detects some motion cues and chooses the search pattern that best fits to them. Specifically, a hierarchical structure of binary linear classifiers is proposed. Our experimental results show that MCS notably reduces the computational cost with respect to an state-of-the-art method while maintaining the quality
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitation2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007. Proceedings. ICASSP 2007 pp. I-1177-1180
dc.identifier.doi10.1109/ICASSP.2007.366123
dc.identifier.isbn1-4244-0728-1
dc.identifier.issn1520-6149
dc.identifier.urihttps://hdl.handle.net/10016/2320
dc.language.isoeng
dc.publisherIEEE
dc.relation.publisherversionhttp://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=4217295&isnumber=4216990&punumber=4216989&k2dockey=4217295@ieeecnfs&query=%28%28diaz-de-maria%29%3Cin%3Eau+%29&pos=4
dc.relation.publisherversionhttp://dx.doi.org/10.1109/ICASSP.2007.366123
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaTelecomunicaciones
dc.subject.otherimage classification
dc.subject.otherimage matching
dc.subject.otherimage sequences
dc.subject.othermotion estimation
dc.subject.othervideo codecs
dc.subject.otheradaptive multipattern fast block-matching algorithm
dc.subject.otherbinary linear classifiers
dc.subject.othermotion classification techniques
dc.subject.othertime-consuming subsystem
dc.subject.othervideo sequences
dc.subject.otherBlock-matching
dc.subject.otherbinary linear classifier
dc.subject.othermotion classification
dc.titleAdaptive Multi-Pattern Fast Block-Matching Algorithm Based on Motion Classification Techniques
dc.typeconference proceedings*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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