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Evaluation strategies for image understanding and retrieval (2005)
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BibTeX
@MISC{Yanai05evaluationstrategies,
author = {Keiji Yanai},
title = {Evaluation strategies for image understanding and retrieval},
year = {2005}
}
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Abstract
We address evaluation of image understanding and retrieval large scale image data in the context of three evaluation projects. The first project is a comprehensive strategy for evaluating image retrieval algorithms and provides an open reference data set for doing so. The second project develops word prediction as a semantically relevant evaluation strategy, and applies it to the evaluation of of image processing methods for semantic image analysis. The third project evaluates words for suitability of their visual properties for use in an image annotation framework.
Keyphrases
image understanding evaluation strategy first project third project word prediction semantic image analysis evaluation project image processing method visual property retrieval large scale image data comprehensive strategy relevant evaluation strategy image annotation framework open reference data set second project image retrieval algorithm
