Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1933
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorChan, YL-
dc.creatorSiu, WC-
dc.creatorHui, KC-
dc.date.accessioned2014-12-11T08:26:47Z-
dc.date.available2014-12-11T08:26:47Z-
dc.identifier.isbn0-7803-7304-9-
dc.identifier.urihttp://hdl.handle.net/10397/1933-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2002 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_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectHilbert spacesen_US
dc.subjectAdaptive estimationen_US
dc.subjectCode standardsen_US
dc.subjectEdge detectionen_US
dc.subjectImage matchingen_US
dc.subjectImage representationen_US
dc.subjectImage textureen_US
dc.subjectMotion estimationen_US
dc.subjectSearch problemsen_US
dc.subjectVideo codingen_US
dc.titleBlock motion estimation using adaptive partial distortion searchen_US
dc.typeConference Paperen_US
dc.description.otherinformationCentre for Multimedia Signal Processing, Department of Electronic and Information Engineeringen_US
dc.description.otherinformationRefereed conference paperen_US
dc.identifier.doi10.1109/ICME.2002.1035822-
dcterms.abstractThe conventional search algorithms for block motion estimation reduce the set of possible displacements for locating the motion vector. All of these algorithms produce some quality degradation of the predicted image. To reduce the computational complexity of the full search algorithm without introducing any loss in the predicted image, we propose an adaptive partial distortion search algorithm (APDS) by selecting the most representative pixels with high activities, such as edges and texture which contribute most to the matching criterion. The APDS algorithm groups the representative pixels based on the pixel activities in the hilbert scan. By using the grouped information and computing the accumulated partial distortion of the representative pixels before that of the other pixels, impossible candidates can be rejected sooner and the remaining computation involved in the matching criterion can be reduced remarkably. Simulation results show that the proposed APDS algorithm has a significant computational speed-up and is the fastest when compared to the conventional partial distortion search algorithms.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2002 IEEE International Conference on Multimedia and Expo : proceedings, August 26-29, 2002, Swiss Federal Institute of Technology, Lausanne, Switzerland, v. 1, p. 477-480-
dcterms.issued2002-
dc.identifier.isiWOS:000178771600120-
dc.identifier.rosgroupidr14736-
dc.description.ros2002-2003 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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