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dc.contributor.authorWang, Shi-Linen_US
dc.contributor.authorLiew, Alan Wee-Chungen_US
dc.date.accessioned2017-05-03T14:38:04Z
dc.date.available2017-05-03T14:38:04Z
dc.date.issued2011en_US
dc.date.modified2012-09-14T01:01:54Z
dc.identifier.issn19958188en_US
dc.identifier.doi10.1007/s12204-011-1167-7en_US
dc.identifier.urihttp://hdl.handle.net/10072/44855
dc.description.abstractFor many image classification tasks, color histogram is usually employed as an important "signature" to describe the color distribution of the image and infer the image content. However, most traditional color histograms cannot achieve satisfactory results in many image classification systems. In order to improve the accuracy and reduce the computational complexity of the classification task, an information-based color feature representation is proposed in this paper. The mutual information between the feature and the class label is adopted to evaluate the discriminative power of the feature. A novel quantization scheme is presented, which removes the redundant color components and combines the adjacent components together to generate a new feature to maximize the discriminative ability. An iterative algorithm is performed to derive the color space quantization and color feature generation. In order to illustrate the effectiveness of the proposed color representation, a specific image classification task, i.e., differentiating the adult images from benign ones, is employed. Experimental results show that our color feature achieves better classification performance and better efficiency compared with the traditional color histogram.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent385543 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherShanghai Jiaotong Daxueen_US
dc.publisher.placeChinaen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom395en_US
dc.relation.ispartofpageto401en_US
dc.relation.ispartofissue4en_US
dc.relation.ispartofjournalJournal of Shanghai Jiaotong University (Science)en_US
dc.relation.ispartofvolume16en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchImage Processingen_US
dc.subject.fieldofresearchcode080106en_US
dc.titleAn information-based color feature representation and its application in detecting adult imagesen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2011 Shanghai Jiao Tong University Press. This is an electronic version of an article published in Journal of Shanghai Jiaotong University (Science), Volume 16, Number 4 (2011), 395-401. Journal of Shanghai Jiaotong University (Science) is available online at: http://www.springerlink.com/ with the open URL of your article.en_US
gro.date.issued2011
gro.hasfulltextFull Text


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