Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/40249
DC FieldValue
dc.titleAdaptive binning and dissimilarity measure for image retrieval and classification
dc.contributor.authorLeow, W.K.
dc.contributor.authorLi, R.
dc.date.accessioned2013-07-04T08:00:00Z
dc.date.available2013-07-04T08:00:00Z
dc.date.issued2001
dc.identifier.citationLeow, W.K.,Li, R. (2001). Adaptive binning and dissimilarity measure for image retrieval and classification. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2 : II234-II239. ScholarBank@NUS Repository.
dc.identifier.issn10636919
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40249
dc.description.abstractColor histogram is an important part of content-based image retrieval systems. It is a common understanding that histograms that adapt to images can represent their color distributions more efficiently than histograms with fixed binnings. However, among existing dissimilarity measures, only the Earth Mover's Distance can compare histograms with different binnings. This paper presents a detailed quantitative study of fixed and adaptive binnings and the corresponding dissimilarity measures. An efficient dissimilarity measure is proposed for comparing histograms with different binnings. Extensive test results show that adaptive binning and dissimilarity produce the best overall performance, in terms of good accuracy, small number of bins, no empty bin, and efficient computation, compared to existing fixed binning schemes and dissimilarity measures.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
dc.description.volume2
dc.description.pageII234-II239
dc.description.codenPIVRE
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.