TAU MIPLAB at ImageClef 2008

U. Avni, J. Goldberger, H. Greenspan

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper describes the participation of Tel Aviv University Medical Image Processing Laboratory group at the ImageClef 2008 medical retrieval and medical annotation tasks. In both tasks we have used the bag-of-words approach for image representation. We submitted two purely visual automatic runs to the medical retrieval task, which used different normalization in the feature extraction stage. Images were converted to a histogram of visual words, and were compared using L1 distance. Our best run was ranked first among the automatic visual based retrieval systems, with MAP score of 0.042. For the medical annotation task we submitted four runs, all used support-vector-machines trained on the visual word histograms. The runs differ in image resolution, and in the way classifiers of two resolutions were combined. In this task our result was second best among the participating groups, with error scores between 105.75 and 117.17.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1174
StatePublished - 2008
Event2008 Working Notes for CLEF Workshop, CLEF 2008 - Co-located with the 12th European Conference on Digital Libraries, ECDL 2008 - Aarhus, Denmark
Duration: 17 Sep 200819 Sep 2008

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