Abstract
We applied an intelligent multimedia information retrieval technique to devise an algorithm identifying and rating adult images. Given a query, ten most similar images are retrieved from an adult image database and a non-adult image database in which we store existing images of each class. If majority of the retrieved are adult images, then the query is determined to be an adult image. Otherwise, it is determined to be a non-adult class. Our experiment shows 99% true positives with 23% false positives with a database containing 1,300 non-adult images, and 93.5% correct detections with 8.4% false positives when experimented with a database containing 12,000 non-adult images. 9,900 adult images are used for both experiments. We also present an adult image rating algorithm which produces results that can be used as a reference for rating images.
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© 2004 Springer-Verlag Berlin Heidelberg
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Yoo, SJ. (2004). Intelligent Multimedia Information Retrieval for Identifying and Rating Adult Images. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_27
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DOI: https://doi.org/10.1007/978-3-540-30132-5_27
Publisher Name: Springer, Berlin, Heidelberg
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