Abstract
Thanks to the recent explosive progress of WWW (World-Wide Web), we can easily access a large number of images from WWW. There are, however, no established methods to make use of WWW as a large image database. In this paper, we describe an automatic imagegathering system from WWW, in which we use both keywords and image features. By exploiting some existing keyword-based search engines and selecting images by their image features, our system obtains, with high accuracy, images that are strongly related to query keywords. This system has been implemented on a parallel PC cluster, which enables us to gather more than one hundred images from WWW in about one minute.
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© 2001 Springer-Verlag Berlin Heidelberg
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Yanai, K., Shindo, M., Noshita, K. (2001). A Fast Image-Gathering System on the World-Wide Web Using a PC Cluster. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_38
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DOI: https://doi.org/10.1007/3-540-45490-X_38
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