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Region Queries without Segmentation for Image Retrieval by Content

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Visual Information and Information Systems (VISUAL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1614))

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Abstract

Content-based image retrieval is today ubiquitous in computer vision. Most systems use the query-by-example approach, performing queries such as “show me more images that look like this one”. Most often, the user is more specifically interested in specifying an object (or region) and in retrieving more images with similar objects (or regions), as opposed to similar images as a whole. This paper deals with that problem, called region querying. We suggest a method that uses a multiresolution quadtree representation of the images and thus avoids the hard problem of region segmentation. Several experimental results are presented in real-world databases.

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6. References

  1. Nastar C., Mitschke M., Meilhac C. and Boujemaa N.: Surfimage: a Flexible Content-Based Image Retrieval System”, ACM Multimedia’98”, Bristol, September, 1998

    Google Scholar 

  2. Nastar C., Mitschke M., Meilhac C.: Efficient Query Refinement for Image Retrieval, Computer Vision and Pattern Recognition (CVPR’98), Santa Barbara, June, 1998

    Google Scholar 

  3. Michaeal J. Swain and D. H. Ballard: Color indexing, IJCV, vol.7, no1, pp.11–32, 1991

    Article  Google Scholar 

  4. John R. Smith and Shih-Fu Chang, Tools and Techniques for Color Image Retrieval, Proceedings of Storage & Retrieval for Image and VideoDatabases I, San Jose, CA, USA, February, pp. 426–437, 1996

    Google Scholar 

  5. Jing Huang and Ravi Kumar and Mandar Mitra and Wei-Jing Zhuand Ramin Zabih, Image Indexing Using Color Correlograms, CVPR, Puerto Rico, June, pp. 762–768, 1997

    Google Scholar 

  6. Sergio D. Servetto and Yong Rui and Kannan Ramchandran and Thomas S. Huang, A: Region-Based Representation of Images in MARS, Special Issue on Multimedia Signal Processing, Journal on VLSI Signal Processing, Oct, 1998

    Google Scholar 

  7. Belongie S. and Carson C. and Greenspan H. and Malik J.: Color-and Texture-Based Image Segmentation Using EM and Its Application to Content-Based Image Retrieval”, Proceedings of the Sixth International Conference on Computer Vision(ICCV’98), Bombay, January, 1998

    Google Scholar 

  8. Cinque L., Lecca F., Levialdi S., and Tanimoto S.: Retrieval of images using rich image descriptions, Proceedings of the ICPR, 1998

    Google Scholar 

  9. Neill W. Campbell, William P. J. Mackeown and Barry T. Thomas and Tom Troscianko: Interpreting image databases by region classification, Pattern Recognition (Special Edition on Image Databases), vol. 30, no 4, Apr, pp. 555–563, 1997

    Article  Google Scholar 

  10. Simone Santini and Ramesh Jain: The Graphical Specification of Similarity Queries, Journal of Visual Languages and Computing, 1997

    Google Scholar 

  11. Del Bimbo and Vicario E.: Using Weighted Spatial Relationships in Retrieval by Visual Contents, IEEE workshop on Image and Video Libraries”, Santa Barbara, June, 1998

    Google Scholar 

  12. Soffer A., Samet H. and Zotkin D.: Pictorial Query trees for query specification in image databases, Proceedings of the ICPR, 1998

    Google Scholar 

  13. Vellaikal A. and Kuo C.: Joint Spatial-Spectral Indexing of JPEG Compressed Data for Image Retrieval, Int’l Conf. on Image Proc.”, Lausanne, 1996

    Google Scholar 

  14. Pentland A., Picard R. and Sclaroff S.: Photobook: Tools for Content-Based Manipulation of Image Databases”, Storage and Retrieval of Image and Video Databases II, vol. 2185, San Jose, 1994

    Google Scholar 

  15. Jain A. and Vailaya A.: Image Retrieval Using Color and Shape: Pattern Recognition, vol. 29, no8, 1996

    Google Scholar 

  16. Nastar C., Mitschke M., Meilhac C., Boujemaa N., Bernard H. and Mautref M.: Retrieving Images by Content: the Surfimage System, Multimedia Informations Systems’98, Istanbul, September, 1998

    Google Scholar 

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Author information

Authors and Affiliations

  1. INRIA, Rocquencourt, BP 105, 78153, Le Chesnay, France

    Jamal Malki, Nozha Boujemaa, Chahab Nastar & Alexandre Winter

Authors
  1. Jamal Malki
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  2. Nozha Boujemaa
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  3. Chahab Nastar
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  4. Alexandre Winter
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Editor information

Editors and Affiliations

  1. Computer Science Department, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Dionysius P. Huijsmans

  2. Research Institute Computer Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Arnold W. M. Smeulders

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© 1999 Springer-Verlag Berlin Heidelberg

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Malki, J., Boujemaa, N., Nastar, C., Winter, A. (1999). Region Queries without Segmentation for Image Retrieval by Content. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_15

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  • DOI: https://doi.org/10.1007/3-540-48762-X_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

  • eBook Packages: Springer Book Archive

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