Pornographic images detection based on CBIR and skin analysis

Bei Bei Liu, Jing Yong Su, Zhe Ming Lu, Li Zhen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

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 languageEnglish
Title of host publicationProceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008
Pages487-488
Number of pages2
DOIs
StatePublished - 2008
Event4th International Conference on Semantics, Knowledge, and Grid, SKG 2008 - Beijing, China
Duration: Dec 3 2008Dec 5 2008

Publication series

NameProceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008

Conference

Conference4th International Conference on Semantics, Knowledge, and Grid, SKG 2008
CountryChina
CityBeijing
Period12/3/0812/5/08

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    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