Search results for key=MMM2001 :
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Refereed full papers (journals, book chapters, international conferences)
2001
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Henning Müller, Wolfgang Müller, Stéphane
Marchand-Maillet, Thierry Pun and David McG. Squire,
Automated benchmarking in content-based image retrieval,
In Proceedings of the IEEE International Conference on
Multimedia and Expo (ICME2001),
Tokyo, Japan, pp. 1143-1146, October 22-25 2001.
Benchmarking has always been a crucial problem in
content-based images retrieval systems (CBIRSs). A key issue is the
lack of a common access method to retrieval systems, such as SQL for
relational databases. The Multimedia Retrieval Mark-up Language (MRML),
described in this article, solves this problem by standardizing access
to CBIRSs. Other difficult problems are also addressed, such as
obtaining relevance judgments and choosing a database for performance
comparison. We present fully automated benchmark for CBIRSs based on
MRML, which can be adapted to any image database and almost any kind of
relevance judgment. The test evaluates the performance of positive and
negative relevance feedback, which can be generated automatically from
the relevance judgments. To illustrate our purpose, a freely
available, non-copyright collection is used to evaluate our CBIRS,
Viper. All scripts described here are freely available for download.
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