Abstract
This paper introduces a complete content based web image retrieval system by which images on WWW are automatically collected, searched and browsed using both visual and textual features. To improve the quality of search results and the speed of retrieval, we propose two new algorithms such as a keyword selection algorithm using visual features as well as the layout of web page, and a k-NN search algorithm based on the hierarchical bitmap index [17] using multiple features with dynamically updated weights. Moreover, these algorithms are adjusted for the MPEG-7 visual descriptors [14] that are used to represent the visual features of image in our system. Experimental results of keyword selection and image retrieval show the superiority of proposed algorithms and a couple of visual interfaces of the system are presented to help understanding some retrieval cases.
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Park, J., Nang, J. (2006). Content Based Web Image Retrieval System Using Both MPEG-7 Visual Descriptors and Textual Information. In: Cham, TJ., Cai, J., Dorai, C., Rajan, D., Chua, TS., Chia, LT. (eds) Advances in Multimedia Modeling. MMM 2007. Lecture Notes in Computer Science, vol 4351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69423-6_64
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DOI: https://doi.org/10.1007/978-3-540-69423-6_64
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