CINDI at ImageCLEF 2006: image retrieval & annotation tasks for the general photographic and medical image collections

  • Authors:
  • M. M. Rahman;V. Sood;B. C. Desai;P. Bhattacharya

  • Affiliations:
  • Dept. of Computer Science & Software Engineering, Concordia University, Canada;Dept. of Computer Science & Software Engineering, Concordia University, Canada;Dept. of Computer Science & Software Engineering, Concordia University, Canada;Concordia Institute for Information Systems Engineering, Concordia University, Canada

  • Venue:
  • CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
  • Year:
  • 2006

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Abstract

This paper presents the techniques and the analysis of different runs submitted by the CINDI group in ImageCLEF 2006. For the ad-hoc image retrieval from both the photographic and medical image collections, we experimented with cross-modal (image and text) interaction and integration approaches based on the relevance feedback in the form of textual query expansion and visual query point movement with adaptive similarity matching functions. For the automatic annotation tasks for both the medical and object collections, we experimented with a classifier combination approach, where several probabilistic multi-class support vector machine classifiers with features at different levels as inputs are combined to predict the final probability scores of each category as image annotation. Analysis of the results of the different runs we submitted for both the image retrieval and annotation tasks are reported in this paper.