Abstract
We describe a similarity based adult image detection technique (SID) exploiting composed MPEG-7 visual descriptors. The technique with a large set of training adult image database and a smaller set of training non-adult image database is practically useful in detecting adult images with little false negatives. SID achieved 99% correct detections with 23% false positives when experimented with a database containing 1,300 training non-adult images, and 93.5% correct detections with 8.4% false positives when experimented with a database containing 12,000 training non-adult images. 9,900 training adult images are used for both experiments. Given a query, ten most similar images are retrieved. 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 image. SID can detect adult Internet content with the aid of text filtering system as described in the later section.
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Yoo, SJ., Jung, Mh., Kang, H.B., Won, C.S., Choi, SM. (2003). Composition of MPEG-7 Visual Descriptors for Detecting Adult Images on the Internet. In: Chung, CW., Kim, CK., Kim, W., Ling, TW., Song, KH. (eds) Web and Communication Technologies and Internet-Related Social Issues — HSI 2003. HSI 2003. Lecture Notes in Computer Science, vol 2713. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45036-X_75
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DOI: https://doi.org/10.1007/3-540-45036-X_75
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