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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References
Chonbuk University, Multidimensional Feature Data Indexing Technology, Report, Electronics and Telecommunications Research Institute, 1999.
ISO/IEC JTC1/SC29/WG11/W4062, “FCD 15938-3 Multimedia Content Description Interface — Part 3 Visual,” Singapore, Mar. 2001.
D.K. Park, Y.S. Jeon, C.S. Won, and S.J. Park, “Efficient use of local edge histogram descriptor,” Int. Workshop on Standards, Interoperability and Practices, ACM, pp. 52–54, Marina del Rey, CA, Nov. 4, 2000.
J. Huang, S. Kumar, W.-J. Zhu, and R. Zabih. Image indexing using color correlogram. In Proc. Of IEEE Conf. On Computer Vision and Pattern Recognition, 1997.
Manjunath, B.S., Ma, W.Y., Texture Features for Browsing and Retrieval of Image Data. IEEE Transactions on PAMI, Vol. 18, No. 8, August, 1996.
Peng Wu, Yong Man Ro, Chee Sun Won, and Yanglim Choi, “Texture Descriptors in MPEG-7,” CAIP 2001, LNC52124, pp. 21–28, 2001.
Michael J. Jones and James M. Rehg, “Statistical Color Models with Application to Skin Detection,” Technical Report Series, Cambridge Research Laboratory, December 1998.
Margaret Fleck, David Forsyth, and Chris Bregler, “Finding Naked People,” 1996 European Conference on Computer Vision, Volume II, pp.592–602, 1996.
David A. Forsyth and Margaret M. Fleck, “Identifying nude pictures,” IEEE Workshop on the Applications of Computer Vision 1996, pp. 103–108, 1996.
David A. Forsyth and Margaret M. Fleck, “Body Plans,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 678–683, 1997.
James Ze Wang, Jia Li, Gio Wiederhold and Oscar Firschein, “System for scrrening objectionable images using daubechies’ wavelets and color histograms,” in Proceedings of the International Workshop on Interactive Distributed Multimedia Systems and Telecommunications Services, pages 20–30, 1997.
Alexandru F. Drimbarean, Peter m. Corcoran, Mihai Cucic and Vasile Buzuloiu, “Image Processing Techniques to Detect and Filter Objectionable Images based on Skin Tone and Shape Recognition,” IEEE International Conference on Consumer Electronics, 2000.
Hee Beom Kang, Dong Kwon Park, Chee Sun Won, Soo-Jun Park, and Seong Joon Yoo, “Image Retrieval Using a Composition of MPEG-7 Visual Descriptors,” CISST 2002.
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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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