Name
Abstract | ||
|---|---|---|
As the development of the Internet, children are easily exposed on the pornography through web browsers. To block adult images, content-based image retrieval technique is employed for adult image identification. First, the background is removed to obtain the rectangular region of interesting based on the detection of skin-like pixels. For each input image, the MPEG-7's color, texture, and the proposed shape feature is used to retrieve 100 most similar images from the image database which contains both adult and non-adult images. If the retrieved images contains more than T"a"d adult images, the input one is identified as an adult image. Otherwise, it is identified as a non-adult image. Experiment results have shown the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.patrec.2007.08.002 | Pattern Recognition Letters |
Keywords | Field | DocType |
similar image,adult image identification,input image,proposed shape feature,edge histogram descriptor,non-adult image,content-based image retrieval technique,experiment result,adult image identification system,image database,scalable color descriptor,adult image,region of interest,image retrieval | Computer vision,Automatic image annotation,Feature detection (computer vision),Pattern recognition,Image texture,Image processing,Image retrieval,Digital image,Artificial intelligence,Mathematics,Standard test image,Visual Word | Journal |
Volume | Issue | ISSN |
28 | 16 | Pattern Recognition Letters |
Citations | PageRank | References |
30 | 1.56 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jau-Ling Shih | 1 | 217 | 11.64 |
| Chang-Hsing Lee | 2 | 439 | 31.86 |
| Chang-Shen Yang | 3 | 30 | 1.56 |