Abstract
Today cartoon images take more portion of digital multimedia than ever as we notice this phenomenon in the entertainment business. With the explosive proliferation of cartoon image contents on the Internet, we seem to need a classification system to categorize these cartoon images. This paper presents a new approach of cartoon image classification based on cartoonists. The proposed cartoon image classification system employs effective MPEG-7 descriptors as image feature values and learns features of particular cartoon images, and classifies the images as multiple classes according to each cartoonist. In the performance simulation we evaluate the effectiveness of the proposed system on a large set of cartoon images and the system successfully classifies images into multiple classes with the rate of over 90%.
“This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (No.2010-0028046)”.
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References
Sikora, T.: The MPEG-7 visual standard for content description – an overview. IEEE Transactions on Circuit and Systems for Video Technology 11(6), 696–702 (2001)
Ro, Y., Kim, M., Kang, H., Manjunath, B., Kim, J.: MPEG-7 homogeneous texture descriptor. ETRI Journal 23(2), 41–51 (2001)
Bober, M.: The MPEG-7 visual shape descriptors. IEEE Transactions on Circuit and Systems for Video Technology 11(6), 716–719 (2001)
Won, C., Park, D., Park, S.: Efficient use of MPEG-7 edge histogram descriptor. ETRI Journal 24(1), 23–30 (2002)
Pakkanen, J., Ilvesmäki, A., Iivarinen, J.: Defect image classification and retrieval with MPEG-7 descriptors. In: Bigun, J., Gustavsson, T. (eds.) SCIA 2003. LNCS, vol. 2749, pp. 349–355. Springer, Heidelberg (2003)
Spyrou, E., Borgne, H., Mailis, T., Cooke, E., Arvrithis, Y., O’Connor, H.: Fusing MPEG-7 visual descriptors for image classification. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds.) ICANN 2005. LNCS, vol. 3697, pp. 847–852. Springer, Heidelberg (2005)
Laaksonen, J., Koskela, M., Oja, E.: PicSOM – Self-organizing image retrieval with MPEG-7 content descriptor. IEEE Transactions on Neural Networks: Special Issue on Intelligent Multimedia Processing 13(4), 841–853 (2002)
Kanellopoulos, I., Wilkinson, G.: Strategies and best practice for neural network image classification. International Journal of Remote Sensing 18(4), 711–725 (1997)
Giacinto, G., Roli, F.: Design of effective neural network ensembles for image classification purposes. Image and Vision Computing 19(9-10), 699–707 (2001)
Patridge, D.: Network generalization differences quantified. Neural Networks 9(2), 263–271 (1996)
Kim, W., Lee, H.-K., Yoo, S.-J., Baik, S.W.: Neural Network Based Adult Image Classification. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds.) ICANN 2005. LNCS, vol. 3696, pp. 481–486. Springer, Heidelberg (2005)
Kim, W., Lee, H.-K., Park, J., Yoon, K.: Multi Class Adult Image Classification Using Neural Networks. In: Kégl, B., Lee, H.-H. (eds.) Canadian AI 2005. LNCS (LNAI), vol. 3501, pp. 222–226. Springer, Heidelberg (2005)
Glasberg, R., Elazouzi, K., Sikora, T.: Cartoon-Recognition Using Visual-Descriptors and a Multilayer-Perceptron. In: WIAMIS, Montreux, April 13-15 (2005)
Rama, A., Tarres, F., Sanchez, L.: Cartoon Detection Using Fuzzy Integral. In: WIAMIS 2007 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services (2007)
Berkels, B., Burger, M., Droske, M., Nemitz, O., Rumpf, M.: Cartoon Extraction Based on Anisotropic Image Classification. In: Modeling and Visualization. Springer, Heidelberg (2006)
Humphrey, E.: Cartoon Recognition and Classification. University of Miami (2009)
Bosch, A., Zisserman, A., Munoz, X.: Image Classification using Random Forests and Ferns. In: IEEE 11th International Conference on Computer Vision (2007)
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Kim, J., Baik, S.W., Kim, K., Jung, C., Kim, W. (2011). A Cartoon Image Classification System Using MPEG-7 Descriptors. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23887-1_46
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DOI: https://doi.org/10.1007/978-3-642-23887-1_46
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