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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorCheng, KO-
dc.creatorLaw, NFB-
dc.creatorSiu, WC-
dc.rightsReproduced with permission of the author.en_US
dc.subjectImage retrievalen_US
dc.subjectBlock-based discrete cosine transformen_US
dc.subjectWavelet packet based approachen_US
dc.titleWavelet packet based approach for image retrieval in compressed domainsen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this manuscript: K. O. Chengen_US
dc.description.otherinformationAuthor name used in this manuscript: N. F. Lawen_US
dc.description.otherinformationAuthor name used in this manuscript: W. C. Siuen_US
dc.description.otherinformationRefereed conference paperen_US
dcterms.abstractImages are often compressed to reduce storage. In order to avoid full decoding in image retrieval, features extracted directly from transformed data have been investigated. The popularity of JPEG and JPEG2000 motivates us to investigate a fast conversion scheme from block-based discrete cosine transform (BDCT) to wavelet domain so that similar features can be extracted from the two different domains. In the proposed scheme, BDCT is first approximated to wavelet packet (WP) transform and then the synthesis WP filter bank is applied to construct wavelet subbands. Studies found that the proposed conversion scheme has a low computational complexity as compared to the baseline approach. Two algorithms are then developed for extracting features in the wavelet subbands for retrieval. Our experimental results show that the proposed algorithms provide a good retrieval performance while the complexity is kept to be low.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of the APSIPA Annual Summit and Conference, Xian, China, Oct 18-21, 2011, [p. 1-4]-
dc.description.ros2011-2012 > Academic research: refereed > Refereed conference paper-
dc.description.oaAccepted Manuscripten_US
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