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

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Show simple item record González Díaz, I. Frutos-López, Manuel de Sanz-Rodríguez, Sergio Díaz-de-María, Fernando 2008-03-14T12:41:24Z 2008-03-14T12:41:24Z 2007
dc.identifier.bibliographicCitation 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007. Proceedings. ICASSP 2007 pp. I-1177-1180
dc.identifier.isbn 1-4244-0728-1
dc.identifier.issn 1520-6149
dc.description.abstract Motion 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.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.subject.other image classification
dc.subject.other image matching
dc.subject.other image sequences
dc.subject.other motion estimation
dc.subject.other video codecs
dc.subject.other adaptive multipattern fast block-matching algorithm
dc.subject.other binary linear classifiers
dc.subject.other motion classification techniques
dc.subject.other time-consuming subsystem
dc.subject.other video sequences
dc.subject.other Block-matching
dc.subject.other binary linear classifier
dc.subject.other motion classification
dc.title Adaptive Multi-Pattern Fast Block-Matching Algorithm Based on Motion Classification Techniques
dc.type article
dc.type conferenceObject PeerReviewed
dc.description.status Publicado
dc.relation.publisherversion arnumber=4217295&isnumber=4216990&punumber=4216989&k2dockey= 4217295@ieeecnfs&query=%28%28diaz-de-maria%29%3Cin%3Eau+%29&pos=4
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi 10.1109/ICASSP.2007.366123
dc.rights.accessRights openAccess
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