Abstract
A novel two-stage scheme of pornographic image detection is proposed in this paper. Specifically, we first apply the content-based image retrieval technique to find out whether human are present in the images. Then a detailed skin color analysis is performed to affirm the presence of pornographic content in the images. Experimental results show that the proposed algorithm performs well and fast in detecting pornographic images.
| Original language | English |
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| Title of host publication | Proceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008 |
| Pages | 487-488 |
| Number of pages | 2 |
| DOIs | |
| State | Published - 2008 |
| Event | 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008 - Beijing, China Duration: Dec 3 2008 → Dec 5 2008 |
Publication series
| Name | Proceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008 |
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Conference
| Conference | 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008 |
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| Country | China |
| City | Beijing |
| Period | 12/3/08 → 12/5/08 |
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Cite this
Liu, B. B., Su, J. Y., Lu, Z. M., & Zhen, L. (2008). Pornographic images detection based on CBIR and skin analysis. In Proceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008 (pp. 487-488). [4725972] (Proceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008). https://doi.org/10.1109/SKG.2008.48