Meiji University at ImageCLEF2010 Visual Concept Detection and Annotation Task
نویسندگان
چکیده
This paper describes the participation of the Web Science Laboratory of Meiji University in the ImageCLEF2010 photo annotation task. We devised a system that combines conceptual fuzzy sets with visual words that have become popular in the fields of image retrieval and recognition. The utility of the system was verified by comparing it with the ordinary Bag of Visual words technique. In addition, we constructed a system using Flickr User Tags that was based on the same idea. Because there are many images without tags, the system integrates visual word and tag-based methods. The utility of the integrated system was verified in an experiment.
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