Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/13304
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dc.contributor.authorTao, Chen.en_US
dc.date.accessioned2008-08-04T04:28:18Zen_US
dc.date.accessioned2008-10-20T07:23:55Z-
dc.date.available2008-08-04T04:28:18Zen_US
dc.date.available2008-10-20T07:23:55Z-
dc.date.copyright1999en_US
dc.date.issued1999en_US
dc.identifier.urihttp://hdl.handle.net/10356/13304-
dc.description.abstractThis thesis discusses our view of content-based image retrieval (CBIR) and our experience with an experimental region-of-interest (ROI)-oriented CBIR system. We present a methodology in which efficient representation and indexing of regional visual features serve as the basis for content-based image retrieval. In the experimental system, each image is indexed and accessed by using the features of individual homogeneous regions extracted from the image. Regions in each image are characterized by their visual descriptions, i.e., color and texture properties. The goal of our system is to support the mechanism by which an image may be submitted for regional similarity based query.en_US
dc.format.extent135 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processingen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systemsen_US
dc.titleExploiting visual descriptions of regions for content-based image retrievalen_US
dc.typeThesisen_US
dc.contributor.supervisorChen, Lihuien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Engineeringen_US
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