An information-based color feature representation and its application in detecting adult images

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Title An information-based color feature representation and its application in detecting adult images
Author Wang, Shi-lin; Liew, Alan Wee-Chung
Journal Name Journal of Shanghai Jiaotong University (Science)
Year Published 2011
Place of publication China
Publisher Shanghai Jiaotong Daxue
Abstract For 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.
Peer Reviewed Yes
Published Yes
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Copyright Statement Copyright 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: with the open URL of your article.
Volume 16
Issue Number 4
Page from 395
Page to 401
ISSN 1995-8188
Date Accessioned 2012-03-12
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Image Processing
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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