Name
Abstract | ||
|---|---|---|
This paper investigates adult images detection based on the shape features of skin regions. In order to accurately detect skin regions, we propose a skin detection method using multi-Bayes classifiers in the paper. Based on skin color detection results, shape features are extracted and fed into a boosted classifier to decide whether or not the skin regions represent a nude. We evaluate adult image detection performance using different boosted classifiers and different shape descriptors. Experimental results show that classification using boosted C4.5 classifier and combination of different shape descriptors outperforms other classification schemes. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1142/S0219467806002082 | INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS |
Keywords | Field | DocType |
Adult image detection, skin detection, shape descriptor, C4.5, AdaBoost | Computer vision,Color detection,AdaBoost,Pattern recognition,Image detection,Classification scheme,Artificial intelligence,SKIN REGIONS,Classifier (linguistics),Mathematics | Journal |
Volume | Issue | ISSN |
6 | 1 | 0219-4678 |
Citations | PageRank | References |
15 | 0.69 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qing-Fang Zheng | 1 | 119 | 5.28 |
| Wei Zeng | 2 | 118 | 9.88 |
| Weiqiang Wang | 3 | 469 | 49.23 |
| Wen Gao | 4 | 11374 | 741.77 |