Retrieving Images by Content: The Surfimage System

  • Authors:
  • Chahab Nastar;Matthias Mitschke;Nozha Boujemaa;Christophe Meilhac;Hélène Bernard;Marc Mautref

  • Affiliations:
  • -;-;-;-;-;-

  • Venue:
  • MIS '98 Proceedings of the 4th International Workshop on Advances in Multimedia Information Systems
  • Year:
  • 1998

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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.