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 image-gathering 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.
CITATION STYLE
Yanai, K., Shindo, M., & Noshita, K. (2001). A fast image-gathering system on the world-wide web using a PC cluster. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2198, pp. 324–334). Springer Verlag. https://doi.org/10.1007/3-540-45490-x_38
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