Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1927
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | - |
dc.creator | Chan, YL | - |
dc.creator | Siu, WC | - |
dc.date.accessioned | 2014-12-11T08:25:39Z | - |
dc.date.available | 2014-12-11T08:25:39Z | - |
dc.identifier.issn | 1051-8215 | - |
dc.identifier.uri | http://hdl.handle.net/10397/1927 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
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_US |
dc.rights | This 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.subject | Adaptive codes | en_US |
dc.subject | Image matching | en_US |
dc.subject | Motion estimation | en_US |
dc.subject | Video coding | en_US |
dc.title | New adaptive pixel decimation for block motion vector estimation | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 113 | - |
dc.identifier.epage | 118 | - |
dc.identifier.volume | 6 | - |
dc.identifier.issue | 1 | - |
dc.identifier.doi | 10.1109/76.486426 | - |
dcterms.abstract | A new adaptive technique based on pixel decimation for the estimation of motion vector is presented. In a traditional approach, a uniform pixel decimation is used. Since part of the pixels in each block do not enter into the matching criterion, this approach limits the accuracy of the motion vector. In this paper, we select the most representative pixels based on image content in each block for the matching criterion. This is due to the fact that high activity in the luminance signal such as edges and texture mainly contributes to the matching criterion. Our approach can compensate the drawback in standard pixel decimation techniques. Computer simulations show that this technique is close to the performance of the exhaustive search with significant computational reduction. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on circuits and systems for video technology, Feb. 1996, v. 6, no. 1, p. 113-118 | - |
dcterms.isPartOf | IEEE transactions on circuits and systems for video technology | - |
dcterms.issued | 1996-02 | - |
dc.identifier.isi | WOS:A1996TZ86900012 | - |
dc.identifier.scopus | 2-s2.0-0030081769 | - |
dc.identifier.eissn | 1558-2205 | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | VoR allowed | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Chan_Siu_Motion_Vector_Estimation.pdf | 636.49 kB | Adobe PDF | View/Open |
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