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IET International Conference on Visual Information Engineering (VIE 2006)
The state of the art in contemporary visual object categorization and classification is dominated by "Bag Of Words" approaches. These use either discriminative or generative learning models to learn the object or scene model. In this paper, we propose a novel "Bag of words" approach for content based image retrieval. Images are converted to virtual text documents and a new relevance feedback algorithm is applied on these documents. We explain how our approach is fundamentally different todoi:10.1049/cp:20060548 fatcat:232zpmxddndaxdllsphriayi7m