Abstract
A challenging problem facing the semantic search of multimedia data objects is the ability to index them. Here, we present an architectural paradigm for collaborative semantic indexing, which makes use of a dynamic evolutionary approach. By capturing, analyzing and interpreting user response and query behavior, the patterns of searching and finding multimedia data objects may be established. Within the present architectural paradigm, the semantic index may be dynamically constructed, validated, and built-up, where the performance of the system will increase as time progresses. Our system also incorporates a high degree of robustness and fault-tolerance whereby inappropriate index terms will be gradually eliminated from the index, while appropriate ones will be reinforced. We also incorporate genetic variations into the design to allow objects which may otherwise be hidden to be discovered. Experimental results indicate that the present approach is able to confer significant performance benefits in the semantic searching and discovery of a wide variety of multimedia data objects.
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References
Azzam, I., Leung, C. H. C., Horwood, J.: A fuzzy expert system for concept-based image indexing and retrieval. In: Proc. of the IEEE International Conf. on Multi-media Modeling, Melbourne, Australia, pp. 452–457 (2005)
Azzam, I., Leung, C. H. C., Horwood, J.: Implicit concept-based image indexing and retrieval. In: Proc. of the IEEE Int’l Conf. on Multi-media Modeling, Brisbane, Australia, pp. 354–359 (2004)
Diligenti, M., Gori, M., and Maggini, M.: Web page scoring systems for horizontal and vertical search. In: Proc. of the 11th Int’l World Wide Web Conf (WWW 2002), Hawaii, USA, pp. 508–516 (2002)
Dwork, C., Kumar, R., Naor, M., and Sivakumar, D.: Rank Aggregation Methods for the Web. In: Proc. of the 10th Int’l World Wide Web Conf., Hong Kong, pp. 613–622 (2001)
Gantz, J.F., et. al.: The expanding digital universe: a forecast of worldwide information growth through 2010, IDC White Paper (March 2007)
Gomez, J., Vicedo, J.L.: Next-Generation Multimedia Database Retrieval. IEEE Multimedia 14(3), 106–107 (2007)
Goth, G.: Multimedia search: ready or not? IEEE Distributed Systems Online 5(7) (2004)
Gros, P., Delakis, M., and Gravier, G.: Multimedia Indexing: The Multimedia Challenge. In: ERCIM News No. 62 (2005)
Haveliwala, T.H.: Topic-Sensitive PageRank. In: Proc. of the 11th Int’l World Wide Web Conf., Hawaii, USA (2002)
Haveliwala, T.H.: Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search. IEEE Transactions on Knowledge and Data Engineering 15(4), 784–796 (2003)
Hoppenbrouwers, J.: Social Tagging/indexing. In: Workshop at the 31st ELAG Conf., Barcelona (2007)
Kipp, M.E.I., Campbell, D.: Patterns and Inconsistencies in Collaborative Tagging Systems: An Examination of Tagging Practices. In: Proc. of the 2006 Annual Meeting of the American Society for Information Science and Technology, Austin, Texas (2006)
Leung, C., Liu, J.: Multimedia data mining and searching through dynamic index evolution. In: Qiu, G., Leung, C., Xue, X.-Y., Laurini, R. (eds.) VISUAL 2007. LNCS, vol. 4781, pp. 298–309. Springer, Heidelberg (2007)
Over, P., Leung, C.H.C., Ip, H., Grubinger, M.: Multimedia retrieval benchmarks. IEEE Multimedia 11(2), 80–84 (2004)
Rafferty, P., Hidderley, R.: Indexing Multimedia and Creative Works: The Problems of Meaning and Interpretation, Aldershot: Ashgate, pp. 43–48 (2005)
Snoek, C.G.M., Worring, M., Gemert, J.C., Van, G.J.M., Smeulders, A.W.M.: The Challenge Problem for Automated Detection of 101 Semantic Concepts in Multimedia. In: Proc. of the 14th annual ACM Int’l Conf. on Multimedia, CA, USA, pp. 421–430 (2006)
Tam, A., Leung, C.H.C.: Structured natural-language descriptions for semantic content retrieval of visual materials. Journal of the American Society for Information Science and Technology, pp. 930-937, 2001.
Voss, J.: Collaborative thesaurus tagging the Wikipedia way. Wikimetrics research papers 1(1) (2006)
Yang, B., Hurson, A.R.: Ad hoc image retrieval using hierarchical semantic-based index. In: Proc of the 19th Int’l Conf. on Advance Information Networking and Applications (AINAW 2005), pp.629–634 (2005)
Yesilada, Y., Harper, S.: Web 2.0 and the Semantic Web: Hindrance or Opportunity? In: Proc. of WA4 International Cross-Disciplinary Conf. on Web Accessibility 2007, (90), pp. 19–31 (2008)
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Leung, C.H.C., Liu, J., Chan, A.W.S., Milani, A. (2008). An Architectural Paradigm for Collaborative Semantic Indexing of Multimedia Data Objects. In: Sebillo, M., Vitiello, G., Schaefer, G. (eds) Visual Information Systems. Web-Based Visual Information Search and Management. VISUAL 2008. Lecture Notes in Computer Science, vol 5188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85891-1_24
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DOI: https://doi.org/10.1007/978-3-540-85891-1_24
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