A　compressed　pornographic　image　recognition　method　is　proposed　by　using　incremental　learning.　For　describing　pornographic　image,　visual　words　are　created　from　low-resolution　(LR)　image　reconstructed　from　the　compressed　stream　of　the　pornographic　image.　Covering　algorithm　is　utilized　to　train　and　recognize　the　visual　words　in　order　to　build　the　initial　classification　model　of　pornographic　image.　At　last,　incremental　learning　is　adopted　to　continuously　adjust　the　classification　rules　to　recognize　the　new　pornographic　image　samples.　The　experimental　results　show　that　the　proposed　incremental　learning　method　for　compressed　pornographic　image　has　higher　recognition　rate　as　well　as　costs　less　recognition　time.