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Nouvelle utilisation de l’information spatiale pour l’indexation d’images basée contenu

New use of spatial information for content-based image indexing

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Résumé

En indexation d’images, la plupart des descripteurs développés sont basés sur des statistiques globales des images. Aujourd’hui, des méthodes essayant d’aller plus loin dans la représentation apparaissent. Sans aller jusqu ’àune description sémantique, elles représentent les images plus finement en utilisant des statistiques localisées ainsi que les interactions entre celles-ci. Dans la plupart des cas, des structures de graphes sont utilisées. Cet article présente ces diverses approches ainsi que celle que nous avons développée en construisant un graphe pyramidal. Les premiers résultats obtenus pour des requêtes globales et partielles avec cette structure sont aussi présentés.

Abstract

Most indexing systems are based on global image descriptors. Nowadays, new representations are used. They try to describe images more precisely without exploiting any semantic description. They use local statistics and their relationships in the image. In this paper, we present these approaches and introduce a new representation system based on a pyramidal graph. First results are also presented which show that the proposed structure is very promising for both partial and global requests.

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Bibliographie

  1. Rui (Y.), Huang (T.), Chang (S.), Image retrieval: current techniques, promising directions, and open issues,Visual Communication and Image Representation 10, pp. 39–62, Mar. 1999.

    Article  Google Scholar 

  2. Schettini (R.), Ciocca (G.), Zuff (S.), Color in databases: Indexation and similarity, inCGIP 2000, pp. 244–249, Oct. 2000.

  3. Swain (M.J.) Ballard (D.H.), Color indexing,IJCV 7(1), pp. 11–32, 1991.

    Article  Google Scholar 

  4. Stricker (M.) Orengo (M.), Similarity of color images, inStorage and Retrieval for Image and Video Databases SPIE,2420, pp. 381–392, Feb. 1995.

    Google Scholar 

  5. Smith (J.) Chang (S.), Single color extraction and image query, inInternational Conference on Image Processing, 1995.

  6. Haralick (R. M.), Shanmugan(K. S.), Dunstein (I.), Textural features for image classification,IEEE Trans. SMC 3(6), pp. 610–621, 1973.

    Google Scholar 

  7. Huang (J.), Kumar (S. R.), Mitra (M.), Zhu (W.), Zabih (R.), Image indexing using color correlograms, inIEEE Computer Vision and pattern Recognition conference, June 1997.

  8. Idris (F.) Panchanathan (S.), Image indexing using wavelet vector quantization, inSPIE Vol. 2606-Digital Image Storage and Archiving Systems, Philadelphia, PA, USA, pp. 269–275, Oct. 1995.

  9. Rui (Y.), She (A.), Huang (T.), Modified fourier descriptors for shape representation-a practical approach, inProc. of 1st workshop on image databases and multimedia search, 1996.

  10. Hu (M.-K.), Visual pattern recognition by moment invariants,IRE Transactions on Information Theory IT-8, pp. 179–187, 1962.

    Google Scholar 

  11. Kapur (D.), Saxena (T.), Lakshman (Y.), Computing invariants using elimination methods, inSCV95, p. 2B Object Recognition I, 1995.

  12. Chuang (G.C.H.) Kuo (C.C.J.), Wavelet descriptor of planar curves: Theory and applications,6, pp. 56–70, Jan. 1996.

    Google Scholar 

  13. Lu (H.), Ooi (B.), Tan (K.), Efficient image retrieval by color contents, inProceedings of the 199 International Conference on Applications Database, 1994.

  14. Funt (B.) Finlayson (G.), Color constant color indexing, inieee Transactions on PAMI,17, pp. 522–529, 1995.

    Google Scholar 

  15. Matas (J.), Marik (R.), Kittler (J.), The color adjacency graph representation of multicolored objects, Technical Report VSSP-TR- 1/95, Department of Electronic & Electrical Engineering, University of Surrey, Guildford, 1995.

    Google Scholar 

  16. Park (K.), Yun (I.), Lee (S.), Color image retrieval using a hybrid graph representation,Journal of Image and Vision Computing 17, pp. 465–474, 1999.

    Article  Google Scholar 

  17. Smith (J.) Chang (S.), Integrated spatial and feature image query, inMultimedia Systems 7 (2), pp. 129–140, 1999.

    Article  Google Scholar 

  18. Santini (S.) Jain (R.), Similarity measures,IEEE Transactions on Pattern Analysis and Machine Intelligence 21, 1999.

  19. Said (A.) Pearlman (W.), An image multiresolution representation for lossless and lossy compression, inIEEE Trans Im Proc, 5(9), 1996.

  20. Kropatsch (W.G.) Benyacoub (S.), A revision of pyramid segmentation, 1996.

  21. Xu (Y.), Duygulu (P.), Saber (E.), Tekalp (M.), Yarmanvural (F.), Object based image retrieval based on multilevel segmentation, inIEEE ICASSP, June 2000.

  22. Lienhardt (P.), Topological models for boundary representations: a comparison with n-dimensional generalized maps,Computer-Aided Design 23(1), pp. 59–82, 1991.

    Article  MATH  Google Scholar 

  23. Deng (Y.), Manjunath (B. S.), Shin (H.), Color image segmentation, inProceedings of the IEEE Computer Science Conference on Computer Vision and Pattern Recognition (CVPR99), pp. 446–451, IEEE, (Los Alamitos), June 23–25 1999.

  24. Nene (S.), Nayar (S.), Murase(H.), Columbia object image library: Coil-100, Technical Report CUCS-006-96, Department of Computer Science, Columbia University, Feb. 1996.

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Authors and Affiliations

  1. Laboratoire ircom-sic, Bâtiment sp2mi, Téléport 2, Boulevard Marie et Pierre Curie, BP 30179, 86962, Futuroscope Chasseneuil Cedex, France

    Julien Dombre, Noël Richard & Christine Fernandez-Maloigne

  2. En partenariat avec le Centre d’Étude Supérieur des Civilisations Médiévales (cescm), l’Université de Poitiers et son directeur, le professeur Éric Palazzo, France

    Julien Dombre, Noël Richard & Christine Fernandez-Maloigne

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  1. Julien Dombre
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  2. Noël Richard
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  3. Christine Fernandez-Maloigne
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Correspondence to Julien Dombre, Noël Richard or Christine Fernandez-Maloigne.

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Dombre, J., Richard, N. & Fernandez-Maloigne, C. Nouvelle utilisation de l’information spatiale pour l’indexation d’images basée contenu. Ann. Télécommun. 57, 943–957 (2002). https://doi.org/10.1007/BF03005255

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