Content Based Image Mining Systems Using Search Engine
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Abstract
During the last decade, the exponential increase of multimedia and remote sensing image archives, the fast expansion of the world
wide web, and the high diversity of users have yielded concepts and systems for successful content-based image retrieval and image information
mining. Image data information systems require both database and visual capabilities, but there is a gap between these systems. Database
systems usually do not deal with multidimensional pictorial structures and vision systems do not provide database query functions. In terms of
these points, the evaluation of content-based image retrieval systems became a focus of research interest. We describe a generic image
classification system with an automatic knowledge acquisition mechanism from the Web. The processing in the system consists of three steps. In
the gathering stage, the system gathers images related to given class keywords from the Web automatically. In the learning stage, it extracts
image features from gathered images and associates them with each class. In the classification stage, the system classifies an unknown image
into one of the classes corresponding to the class keywords by using the association between the image features and the classes.
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Keywords: Web image mining, image-gathering, image classification, image search engine, image database
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