Abstract
Retrieval in image information bases has been traditionally addressed by two different and unreconciled approaches: the first one uses normal query methods on metadata or on a textual description of each item. The second one works on low-level multimedia features (such as color, texture, etc.) and tries to find items that are similar to a specific selected item. Neither of these approaches supports the most common end-user task: the exploration of an information base in order to find the “right” items. This paper describes a prototype system based on dynamic taxonomies, a model for the intelligent exploration of heterogeneous information bases, and shows how the system implements a new access paradigm supporting guided exploration, discovery, and the seamless integration of access through metadata with methods based on low-level multimedia features. Example interactions are discussed, as well as the major implications of this approach.
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References
Cutting, D.R., Karger, D.R., Pedersen, J.O., Tukey, J.W.: Scatter/Gather: a cluster-based approach to browsing large document collections. ACM SIGIR, 318–329 (1992)
Datta, R., Li, J., Wang, J.Z.: Content-Based Image Retrieval - Approaches and Trends of the New Age. In: ACM MIR (2005)
Gärdenfors, P.: Conceptual Spaces – The Geometry of Thought. MIT Press, Cambridge (2000)
Hearst, M., et al.: Finding the Flow in Web Site Search. Comm. of the ACM 45(9), 42–49 (2002)
Knowledge Processors, The Universal Knowledge Processor (1999), http://www.knowledgeprocessors.com
Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: a review. ACM Comput. Surv. 31(3), 264–323 (1999)
Lei, Z., Fuzong, L., Bo, Z.: A CBIR method based on color-spatial feature, TENCON 1999. In: Proc of the IEEE Region 10 Conference, pp. 166–169 (1999)
Martinez, J. (ed.): MPEG 7 – Overview, ISO/IEC JTC1/SC29/WG11 N4980 (2002)
McDonald, S., Tait, J.: Search strategies in content-based image retrieval. ACM SIGIR, 80–87 (2003)
Niblack, W., Barber, R., et al.: The QBIC Project: Querying Images By Content Using Color, Texture, and Shape. In: SPIE, vol. 1908, pp. 173–181 (1993)
Ranganathan, S.R.: The Colon Classification, vol. 4. Rutgers University Press, New Jersey (1965)
Sanderson, M., Croft, B.: Deriving concept hierarchies from text. ACM SIGIR (1999)
Sacco, G.M.: Navigating the CD-ROM. In: Proc. Int. Conf. Business of CD-ROM (1987)
Sacco, G.M.: Dynamic Taxonomies: A Model for Large Information Bases. IEEE Transactions on Knowledge and Data Engineering 12(3) (2000)
Sacco, G.M.: Uniform access to multimedia information bases through dynamic taxonomies. In: IEEE 6th Int. Symp. on Multimedia Software Engineering (2004)
Sacco, G.M.: The intelligent e-store: easy interactive product selection and comparison. In: 7th IEEE Conf. on E-Commerce Technology, IEEE CEC 2005 (2005)
Sacco, G.M.: Analysis and Validation of Information Access through Mono, Multidimensional and Dynamic Taxonomies. In: Larsen, H.L., Pasi, G., Ortiz-Arroyo, D., Andreasen, T., Christiansen, H. (eds.) FQAS 2006. LNCS (LNAI), vol. 4027, pp. 659–670. Springer, Heidelberg (2006)
Sacco, G.M.: Some Research Results in Dynamic Taxonomy and Faceted Search Systems. In: SIGIR 2006 Workshop on Faceted Search (2006)
Santini, S., Jain, R.: Integrated Browsing and Querying for Image Databases. IEEE MultiMedia 7(3), 26–39 (2000)
Schreiber, A.T., Dubbeldam, B., Wielemaker, J., Wielinga, B.J.: Ontology-based photo annotation. IEEE Intelligent Systems (2001)
Smeulders, A., et al.: Content-based image retrieval at the end of early years. IEEE Trans on Pattern Analysis and Machine Intelligence 22(12), 1349–1380 (2000)
Stan, D.: A New Approach for Exploration of Image Databases. In: Proceedings of the Grace Hopper Celebration of Women in Computing (2002)
Tian, Q., et al.: Image retrieval using wavelet-based salient points. Journal of Electronic Imaging 10(4), 835–849 (2001)
Yee, K., Swearingen, K., Li, K., Hearst, M.: Faceted metadata for image search and browsing. In: Proc ACM SIGCHI Conf. CHI 2003 (2003)
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Sacco, G.M. (2008). Rosso Tiziano: A System for User-Centered Exploration and Discovery in Large Image Information Bases. In: Bhowmick, S.S., Küng, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2008. Lecture Notes in Computer Science, vol 5181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85654-2_29
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DOI: https://doi.org/10.1007/978-3-540-85654-2_29
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