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.