Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/277
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorCheung, HK-
dc.creatorSiu, WC-
dc.creatorFeng, DD-
dc.creatorWang, Z-
dc.date.accessioned2014-12-11T08:27:45Z-
dc.date.available2014-12-11T08:27:45Z-
dc.identifier.isbn978-1-4244-2311-8-
dc.identifier.urihttp://hdl.handle.net/10397/277-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2008 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.subjectMotion estimationen_US
dc.subjectVideo codingen_US
dc.subjectTwo-bit transform (2BT)en_US
dc.subjectDiscrete cosine transformen_US
dc.subjectH.264en_US
dc.titleConstrained one-bit transform for retinex based motion estimation for sequences with brightness variationsen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: Dagan Fengen_US
dc.description.otherinformationRefereed conference paperen_US
dcterms.abstractIn this paper, we propose a DCT based binary matching approach for fast motion estimation. The proposed approach is suitable to be applied to our previously proposed retinex based coding system which is characterized with fast motion estimation and the capability of accurately estimating motions for sequences having inter-frame brightness variations. We propose to apply the DCT techniques to the transformation of images to the binary bit plane and to the scaled retinex domain, which is more computationally efficient compared to the conventional convolution based bit transformation approach. Experimental results show that our proposed DCT based bit transform has a very close prediction quality performance (less than 0.1dB drop) to that of the convolution based approach while our system can avoid the extra convolution procedure.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2008 IEEE International Conference on Neural Networks and Signal Processing (ICNNSP 08), Zhenjiang, China, June 8-10, 2008, p. 682-685-
dcterms.issued2008-
dc.identifier.scopus2-s2.0-51849084234-
dc.identifier.rosgroupidr37589-
dc.description.ros2007-2008 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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