Title :
Skin information combined saliency detection for classifying objectionable images
Author :
Chi Yoon Jeong ; Seungwan Han
Author_Institution :
Video Surveillance Res. Sect., Electron. & Telecommun. Res. Inst., Daejeon, South Korea
Abstract :
Although visual attention models have shown good performance in general environments, applying it for filtering objectionable image needs consideration for skin information. Therefore, in this paper, we proposed the saliency detection method specialized in adult image classification using the skin color and the contrast information. Skin information combined saliency map is generated by merging the saliency map of visual attention model and the skin probability map. In order to prove the effectiveness of the proposed method, we consider the use of a saliency map in objectionable image classification.
Keywords :
image classification; image colour analysis; object detection; skin; adult image classification; contrast information; objectionable image classification; saliency detection; saliency map; skin color; skin information; skin probability map; visual attention models; Objectioable Image Classification; Region of Interest; Saliency Detection; Skin Color; Visual Descriptors;
Conference_Titel :
ICT Convergence (ICTC), 2013 International Conference on
Conference_Location :
Jeju
DOI :
10.1109/ICTC.2013.6675466