Experimental result analysis for a generative probabilistic image retrieval model

  • Authors:
  • Thijs Westerveld;Arjen P. de Vries

  • Affiliations:
  • CWI, The Netherlands;CWI, The Netherlands

  • Venue:
  • Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
  • Year:
  • 2003

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Abstract

The main conclusion from the metrics-based evaluation of video retrieval systems at TREC's video track is that non-interactive image retrieval from general collections using visual information only is not yet feasible. We show how a detailed analysis of retrieval results -- looking beyond mean average precision (MAP) scores on topical relevance -- gives significant insight in the main problems with the visual part of the retrieval model under study. Such an analytical approach proves an important addition to standard evaluation measures.