Abstract
Retrieving desired images from large amounts of images has been increasingly important. Traditionally keyword search and content-based image retrieval have been used for image search. However, such retrieval methods have scarcely assumed a case when users have few terms for desired images or few images similar to the desired images. For this problem, we use fragments of images extracted from datasets as values of facets in faceted navigation. We extract parts of images as fragments. Then, we make a several number of groups for each part to decide representative images for faceted navigation. Our empirical user study based on an example application using face image data, FUKUWARAI, shows that our proposal successfully supports users to find desired images.
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Komamizu, T., Kamie, M., Fukui, K., Amagasa, T., Kitagawa, H. (2012). A Scheme of Fragment-Based Faceted Image Search. In: Liddle, S.W., Schewe, KD., Tjoa, A.M., Zhou, X. (eds) Database and Expert Systems Applications. DEXA 2012. Lecture Notes in Computer Science, vol 7447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32597-7_40
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DOI: https://doi.org/10.1007/978-3-642-32597-7_40
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