Filtrage de l'indexation textuelle d'une image au moyen du contenu visuel pour un moteur de recherche d'images sur le web

In this article, we describe a method for filtering the textual indexing of images which cover general subjects. To this purpose, we build first visual clusters for each keyword of the lexicon by means of an ascending hierarchical clustering of visual vector. Then, we test the validity of the association keywords/visual clusters using a test base and we measure the performance of the classification with the "normalized score". Lastly, we use visual clusters to filter the textual indexing and to obtain an improvement of the indexing going up to 40% depending of the visual consistency of the word. MOTS-CLÉS : Filtrage visuel, indexation textuelle, recherche d’images, classification

[1]  James Ze Wang,et al.  SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Hervé Glotin,et al.  Rehaussement de la classification textuelle d ’ images par leur contenu visuel Enhancement of textual images classification using their visual content , 2003 .

[3]  James Ze Wang,et al.  Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Thierry Pun,et al.  The Truth about Corel - Evaluation in Image Retrieval , 2002, CIVR.

[5]  R. Manmatha,et al.  Automatic image annotation and retrieval using cross-media relevance models , 2003, SIGIR.

[6]  Jitendra Malik,et al.  Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[7]  Daniel Gatica-Perez,et al.  On image auto-annotation with latent space models , 2003, ACM Multimedia.

[8]  G. N. Lance,et al.  A General Theory of Classificatory Sorting Strategies: 1. Hierarchical Systems , 1967, Comput. J..

[9]  David G. Stork,et al.  Pattern Classification , 1973 .

[10]  Berthier A. Ribeiro-Neto,et al.  Image retrieval using multiple evidence ranking , 2004, IEEE Transactions on Knowledge and Data Engineering.

[11]  Nozha Boujemaa,et al.  Recherche d'images par régions d'intérêt : segmentation grossière rapide et description couleur ne , 2003, Tech. Sci. Informatiques.

[12]  David A. Forsyth,et al.  Matching Words and Pictures , 2003, J. Mach. Learn. Res..

[13]  James Ze Wang,et al.  SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2001, IEEE Trans. Pattern Anal. Mach. Intell..