Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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A Method for Identification of Harmful Video Images Using a 2-Dimensional Projection Map

  • Kim, Chang-Geun (Department of Computer Convergence Engineering, Gyeongnam National University of Science and Technology) ;
  • Kim, Soung-Gyun (Department of Business Administration, Graduate School, Gyeongsang National University) ;
  • Kim, Hyun-Ju (Department of Computer Convergence Engineering, Gyeongnam National University of Science and Technology)
  • Received : 2012.09.12
  • Accepted : 2013.01.24
  • Published : 2013.03.31
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Abstract

This paper proposes a method for identification of harmful video images based on the degree of harmfulness in the video content. To extract harmful candidate frames from the video effectively, we used a video color extraction method applying a projection map. The procedure for identifying the harmful video has five steps, first, extract the I-frames from the video and map them onto projection map. Next, calculate the similarity and select the potentially harmful, then identify the harmful images by comparing the similarity measurement value. The method estimates similarity between the extracted frames and normative images using the critical value of the projection map. Based on our experimental test, we propose how the harmful candidate frames are extracted and compared with normative images. The various experimental data proved that the image identification method based on the 2-dimensional projection map is superior to using the color histogram technique in harmful image detection performance.

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References

  1. M. M. Fleck, D. A. Forsyth, and C. Bregler, "Finding naked people," Computer Vision (ECCV 1996), Lecture Notes in Computer Science, vol. 1065, pp. 592-602, 1996.
  2. S. G. Kim, M. C. Park, and S. W. Ha, "A technique to select keyframe for identifying harmful video images," Journal of the Korean Institute of Maritime Information and Communication Sciences, vol. 10, no. 10, pp. 1822-1828, 2006.
  3. Y. S. Kim, T. Y. Nam, and J. S. Chang, "Technology of detrimental information protection," Journal of the Korean Institute of Electronics Engineers, vol. 32, no. 11, pp. 90-101, 2005.
  4. H. Aoki, S. Shimotsuji, and O. Hori, "A shot classification method of selecting effective key-frames for video browsing," in Proceedings of the 4th ACM International Conference on Multimedia, Boston: MA, pp. 1-10, 1996.
  5. A. Komlodi and G. Marchionini, "Key frame preview techniques for video browsing," in Proceedings of the 3rd ACM Conference on Digital Libraries, Pittsburgh: PA, pp. 118-125, 1998.
  6. E. A. Yfantis, "An algorithm for key-frame determination in digital video," in Proceedings of the ACM Symposium on Applied Computing, Las Vegas: NV, pp. 312-314, 2001.
  7. S. W. Ha, "A new method for color feature representation of color image in content-based image retrieval - 2D projection maps," International Journal of Maritime Information and Communication Science, vol. 2, no. 2, pp. 123-127, 2004.
  8. L. Kotoulas and I. Andreadis, "Colour histogram content-based image retrieval and hardware implementation," IEEE Proceedings on Circuits, Devices and Systems, vol. 150, no. 5, pp. 387-393, 2003. https://doi.org/10.1049/ip-cds:20030481
  9. R. M. Haralick, K. Shanmugam, and I. Dinstein, "Texture features for image classification," IEEE Transactions on Systems, Man and Cybernetics, vol. 3, no.6, pp. 610-621, 1973. https://doi.org/10.1109/TSMC.1973.4309314
  10. P. Kakumanu, S. Makrogiannis, and N. Bourbakis, "A survey of skin-color modeling and detection methods," Pattern Recognition, vol. 40, no. 3, pp. 1106-1122, 2007. https://doi.org/10.1016/j.patcog.2006.06.010
  11. J. S. Lee, Y. M. Kuo, P. C. Chung, and E. L. Chen, "Naked image detection based on adaptive and extensible skin color model," Pattern Recognition, vol. 40, no. 8, pp. 2261-2270, 2007. https://doi.org/10.1016/j.patcog.2006.11.016
  12. J. L. Shih, C. H. Lee, and C. S. Yang, "An adult image identifycation system employing image retrieval technique," Pattern Recognition Letters, vol. 28, no. 16, pp. 2367-2374, 2007. https://doi.org/10.1016/j.patrec.2007.08.002