document: Finding visual concepts by web image mining We propose measuring `` visualness '' of concepts with images on the Web , that is , what extent concepts have visual characteristics . This is a new application of `` Web image mining '' . To know which concept has visually discriminative power is important for image recognition , since not all concepts are related to visual contents . Mining image data on the Web with our method enables it . Our method performs probabilistic region selection for images and computes an entropy measure which represents `` visualness '' of concepts . In the experiments , we collected about forty thousand images from the Web for 150 concepts . We examined which concepts are suitable for annotation of image contents .
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