ICIP 2006, Atlanta, GA

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Session:Low-Level Indexing and Retrieval of Images
Time:Tuesday, October 10, 09:40 - 12:20
Presentation: Poster
Topic: Image & Video Storage and Retrieval: Other
Authors: Chi Yoon Jeong; Electronics and Telecommunications Research Institute (ETRI) 
 Seung Wan Han; Electronics and Telecommunications Research Institute (ETRI) 
 Su Gil Choi; Electronics and Telecommunications Research Institute (ETRI) 
 Taek Yong Nam; Electronics and Telecommunications Research Institute (ETRI) 
Abstract: In this paper, we propose the objectionable image detection system based on ROI. The proposed system excels in that ROI detection method is specialized in objectionable image detection. In addition, we propose the novel feature consisting of weighted SCD based on ROI and skin color structure descriptor for classifying objectionable image. Using the ROI detection method, we can reduce the noisy information in image and extract more accurate features for classifying objectionable image. We also can increase the performance of classification system using the skin color information which is the most representative characteristic of objectionable image. An objectionable image is classified as follows. First, the proposed system extracts the ROI from an input image, and then generates the feature using the color information of ROI image and the skin color structure information. The generated feature is used as an input to the SVMs which determines whether an image is objectionable or not. Experimental results show that the proposed ROI detection method can detect ROI exactly. Additionally, the proposed system can achieve the better performance than existing system.