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Pornographic image region detection based on visual attention model in compressed domain

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4 Author(s)
Jing Zhang ; Signal & Inf. Process. Lab., Beijing Univ. of Technol., Beijing, China ; Lei Sui ; Li Zhuo ; Zhenwei Li

According to biological attention mechanism, a region of interest (ROI) detection based on visual attention model is closer to human visual system. Taken into account the characteristics of pornographic image during regions detection, a pornographic image region detection method based on visual attention model in compressed domain is proposed in this study, which includes the following four steps: (i) the skin colour regions of pornographic images are detected in compressed domain; (ii) visual saliency map in compressed domain is computed to construct visual attention model; (iii) threshold segmentation method is used for visual saliency map, and then the torso information is retained as pornographic regions; and (iv) four features of colour, texture, intensity and skin are extracted to represent pornographic region. The experimental results show that the proposed method can perform well on the speed/accuracy of pornographic regions detection and representation.

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Image Processing, IET  (Volume:7 ,  Issue: 4 )