Abstract
The phenomenon that objectionable contents spread over the Mobile Internet reflects badly both on users and business. To cope with the situation here, we have proposed a relatively effective and efficient method. Combined with the conventional skin color detection and face detection, we add movement invariants to revise the detection ability and use image clustering based on MPEG-7 to improve the efficiency of human examination and verification. Simulations have shown the good performance for the realtime detection effects, and reduced the misstatement Rate and 90% artificial workload, which improve the detection ratio to a large scale.
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References
Huawei Symantec DPI Laboratory. Internet App Analysis Report. Technical report (2011)
Rehg, J., Jones, M.: Statistical Color Models with aApplication to Skin Detection. International Journal of Computer Vision 46(1), 81–96 (2002)
Bosson, A., Cawley, G.C., Chan, Y., Harvey, R.: Non-retrieval: Blocking Pornographic Images. In: Lew, M., Sebe, N., Eakins, J.P. (eds.) CIVR 2002. LNCS, vol. 2383, pp. 50–60. Springer, Heidelberg (2002)
Liu, H., Zheng, H., Daoudi, M.: Blocking Objectionable Images: Adult Images and Harmful Symbols. In: Proc. IEEE Int’l Conf. Multimedia and Expo, vol. 2, pp. 1223–1226 (June 2004)
Tan, T., Yang, J., Fu, Z., Hu, W.: A Novel Approach to Detecting Adult Images. In: Proc. of ICPR, vol. 4, pp. 479–482 (August 2004)
Tan, T., Yang, J., Fu, Z., Hu, W.: A Novel Algorithm for Content-based Image Recognition and Filtering. Journal of Communication 7 (2004)
Jones, M., Rehg, J.: Statistical Color Models with Application to Skin Detection. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 274–280 (June 1999)
Zhang, D., Lu, G.: Review of Shape Representation and Description Techniques. Pattern Recognition 37(1), 1–19 (2004)
Forsyth, D.A., Fleck, M.M.: Body Plans. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 678–683 (June 1997)
Forsyth, D.A., Fleck, M.M.: Finding People and Animals by Guided Assembly. In: Proc. IEEE Int’l Conf. Image Processing, vol. 3, pp. 5–8 (1997)
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Shi, L., Zhang, T., Yang, W., Chen, Y., Zhu, Y. (2013). An Objectionable Image Detection Method Based on Movement Invariants and Clustering. In: Tan, T., Ruan, Q., Chen, X., Ma, H., Wang, L. (eds) Advances in Image and Graphics Technologies. IGTA 2013. Communications in Computer and Information Science, vol 363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37149-3_33
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DOI: https://doi.org/10.1007/978-3-642-37149-3_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37148-6
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