@inbook{c36b4ca072184a029d6246265bb56286,
title = "Composition of MPEG-7 visual descriptors for detecting adult images on the internet",
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.",
author = "Yoo, {Seong Joon} and Jung, {Min Ho} and Kang, {Hee Beom} and Won, {Chee Sun} and Choi, {Soo Mi}",
year = "2003",
doi = "10.1007/3-540-45036-x_75",
language = "English",
isbn = "3540404562",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "682--687",
editor = "Chin-Wan Chung and Chong-Kwon Kim and Won Kim and Tok-Wang Ling and Kwan-Ho Song",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}