Benchmarking image and video retrieval: an overview

  • Authors:
  • Stéphane Marchand-Maillet;Marcel Worring

  • Affiliations:
  • University of Geneva, Geneva, Switzerland;University of Amsterdam, Amsterdam, The Netherlands

  • Venue:
  • MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
  • Year:
  • 2006

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Abstract

Multimedia Information Retrieval (IR)techniques and associated systems are now numerous and justify the development of strategies and actions to objectively evaluate their capabilities. A number of initiatives following this line exist, each with its own peculiarities. In this paper, we take a bird's eye view on benchmarking multimedia IR systems (with the particular case of image and video retrieval)and summarize contributions made to a dedicated special session at the ACM Multimedia Information Retrieval Workshop (ACM MIR2006).From the analysis of a classical IR system, we identify locations of interest for evaluation of performance.We review proposals made in the context of existing benchmarks, each specialized in its own aspect and media.