Abstract
This paper describes a mechanism to annotate face images in impressive words which express their visual impressions. An annotation mechanism is developed by integrating latent semantic indexing, decision trees, and association rules. Moreover, visual and symbolic features of faces are integrated, which are corresponding to lengths and/or widths of face parts and impressive words, respectively. Relationships among these features are represented in a latent semantic space, their direct relationships in decision trees, and co-occurrence relationships among symbolic features in association rules, respectively. Efficiency of annotation results is improved by integrating these mechanisms, since their features are utilized effectively.
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References
Chellappa, R., Wilson, C.L., Sirohey, S.: Human and Machine Recognition of Faces: A Survey. Proceedings of the IEEEÂ 83(5) (1995)
Datta, R., Joshi, D., Li, A., Wang, J.Z.: Image Retrieval: Ideas, Influence, and Trends of the New Age. ACM Computing Survey 40(2) (2008)
Fasel, B., Monay, F., Gatia-Perez, D.: Latent Semantic Analysis of Facial Action Code for Automatic Facial Expression Recognition. In: Proc. MIR. ACM, New York (2004)
Fang, Y., Geman, D., Boujemaa, N.: An Interactive System for Mental Face Retrieval. In: Proc. MIR. ACM, New York (2005)
Ito, H., Kawai, Y., Koshimizu, H.: Face Image Annotation based on Latent Semantic Space and Rules. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds.) KES 2008, Part II. LNCS, vol. 5178, pp. 766–773. Springer, Heidelberg (2008)
Manning, C.P., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)
Pantic, M., Rothkrantz, L.J.M.: Facial Action Recognition for Facial Expression Analysis from Static Face Images. IEEE Tran. on SMC. Part BÂ 34(3) (2004)
Tan, P.-N., Steinback, M., Kumar, V.: Introduction to Data Mining. Addison-Wesley, Reading (2005)
Wang, X.-J., Zhang, L., Ma, W.-Y.: Annotating Images by Mining Image Search Results. IEEE Tran. on PAMI 30(11), 1919–1932 (2008)
Zhang, Z., Zhang, R.: Multimedia Data Mining, A Systematic Introduction to Concepts and Theory. CRC Press, Boca Raton (2009)
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Ito, H., Kawai, Y., Koshimizu, H. (2009). Face Image Annotation in Impressive Words by Integrating Latent Semantic Spaces and Rules. In: Velásquez, J.D., RÃos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_73
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DOI: https://doi.org/10.1007/978-3-642-04592-9_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04591-2
Online ISBN: 978-3-642-04592-9
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