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

作者: Jing Zhang , Li Zhuo , Zhenwei Li , Lei Sui

DOI: 10.1049/IET-IPR.2012.0381

关键词:

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

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