Abstract
In this article, we propose an original model of images representation. This work contributes to the subject of the general framework for image indexing and retrieval on the WEB. We describe a method to construct and quantify images from a semantic model, based on graphs, using a set of descriptors. This quantification of the skeleton graph is used for indexing images. In the case of images, the retrieval is mostly done by using text information (image’s name, surrounding text, annotations,...) but the information related to content images (color, shape, texture, structure,...) are not considered. It is within this context that the proposed approach allows automatically to calculate for each object of the image (represented by a region) a local descriptor that allows to define its visual and semantic characteristics. This approach therefore presents an extension of the classical model of visual graph used in information retrieval.
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References
Benafia, A., Maameri, M., Saadaoui, S.: Un modèle A.O.V étendu pour les spécifications de la vérité-terrain (to appear)
Benafia, A., Maameri, M., Saadaoui, S.: Un système d’apprentissage pour l’annotation automatique des régions d’images issues de la segmentation (to appear)
Mechhour, M.: EMIR2: an extended model for image representation and retrieval. In: Database and Expert Systems Applications Conf., London, pp. 395–404 (1995)
Hsieh, S., Hsu, C.: Graph-based representation for similarity retrieval of symbolic images. Journal Data –Knowledge-Engineering 65(3) (2008)
LMugnier, M., Chein, M.: Représenter des connaissances et raisonner avec des graphes. Revue d’intelligence artificielle 10(1), 7–56 (1996)
Mulhem, P., Debanne, E.: A framework for Mixed Symbolic-based and Feature-based Query by Example Image Retreival. International Journal for Information Technology 12(1), 74–98 (2006)
Ounis, I., Pasca, M.: The relief retrieval system. In: KDEX 1997(1997)
Pham, T., Mulhem, P., Maisonnasse, L.: 3Relations explicites entre différentes représentations d’image dans un modèle de graphe visuel (2009)
Priese, L., Rehrmann, V.: A fast hybrid color segmentation method. In: Jn, S.J., Poppl, J., Handels, H. (eds.) Mustererkennunj Symposium Lubeck, Springer, Heidelberg (1993)
Smith, J.R., Chang, S.F.: VisualSEEk: A fully automated content-based image query system. In: Proceedings of the Fourth ACM international Conference on Multimedia, pp. 87–98 (1996)
Steinman, S.B., Steinman, B.A., Garzia, R.P.: Foundations of Binocular Vision: A Clinical perspective. McGraw – Hill Medical, New York (2000); ISBN 0-8385-2670-5
Tappen, M.F., Russell, B.C., Freeman, W.T.: Efficient Graphical Models for Processing. In: IEEE Conference on Computer Vision and Pattern Recognition (2004)
Yuan, J., Li, J., Zhang, B.: Exploiting spatial context constraints for automatic image region annotation. In: Proceedings of the 15th international Conference on Multimedia, pp. 25–29 (2007)
Chaudhuria, D., Samalb, A.: A simple method for fitting of bounding rectangle to closed regions, publication in the review Elsevier Ltd on behalf of Pattern Recognition Society (2007)
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Benafia, A., Maamri, R., Sahnoun, Z., Saadaoui, S., Saadna, Y. (2011). A Representation Model of Images Based on Graphs and Automatic Instantiation of Its Skeletal Configuration. In: Tsihrintzis, G.A., Virvou, M., Jain, L.C., Howlett, R.J. (eds) Intelligent Interactive Multimedia Systems and Services. Smart Innovation, Systems and Technologies, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22158-3_24
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DOI: https://doi.org/10.1007/978-3-642-22158-3_24
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