Retrieving Images by Content: The Surfimage System

  • Chahab Nastar
  • Matthias Mitschke
  • Nozha Boujemaa
  • Christophe Meilhac
  • Héléne Bernard
  • Marc Mautref
Conference paper

DOI: 10.1007/3-540-49651-3_11

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1508)
Cite this paper as:
Nastar C., Mitschke M., Boujemaa N., Meilhac C., Bernard H., Mautref M. (1998) Retrieving Images by Content: The Surfimage System. In: Advances in Multimedia Information Systems. MIS 1998. Lecture Notes in Computer Science, vol 1508. Springer, Berlin, Heidelberg

Abstract

Surfimage is a versatile content-based image retrieval system allowing both efficiency and flexibility, depending on the application. Surfimage uses the query-by-example approach for retrieving images and integrates advanced features such as image signature combination, multiple queries, query refinement, and partial queries. The classic and advanced features of Surfimage are detailed hereafter. Surfimage has been extensively tested on dozens of databases, demonstrating performance and robustness. Several experimental results are presented in the paper.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Chahab Nastar
    • 1
  • Matthias Mitschke
    • 1
    • 3
  • Nozha Boujemaa
    • 1
  • Christophe Meilhac
    • 1
  • Héléne Bernard
    • 2
  • Marc Mautref
    • 2
  1. 1.INRIA RocquencourtLe ChesnayFrance
  2. 2.Alcatel Corporate Research CenterMarcoussisFrance
  3. 3.Siemens AGErlangenGermany

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