Abstract
In this paper we present an initial study on the use of both high and low level MPEG-7 descriptions for video retrieval. A brief survey of current XML indexing techniques shows that an IR-based retrieval method provides a better foundation for retrieval as it satisfies important retrieval criteria such as content ranking and approximate matching. An aggregation technique for XML document retrieval is adapted to an MPEG-7 indexing structure by assigning semantic meanings to various audio/visual features and this is presented here.
This paper is based on research undertaken by the first author as a Ph.D.student.
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Day, N. and MartÃnez, J.M. (ed.): Introduction to MPEG-7 (v4.0), working document N4675, (2002). Available at: http://mpeg.telecomitalialab.com/working_documents.htm, last visit on 29th Oct, 2002
Kazai, G., Lalmas, M. and Rölleke T.: A Model for the Representation and Focussed Retrieval of Structured Documents based on Fuzzy Aggregation. In: String Processing and Information retrieval (SPIRE 2001) Conference, Laguna De San Rafael, Chile. Nov (2001)
Pearmain, A., Lalmas, M., Moutogianni, E., Papworth, D., Healy, P. and Roelleke T.: Using MPEG-7 at the Consumer Terminal in Broadcasting. In: EURASIP Journal on Applied Signal Processing, Vol.2002, No. 4, April 2002, 354–361
Graves, A. and Lalmas, M.: Video Retrieval using an MPEG-7 Based Inference Network. In: Proceedings of SIGIR’02, Tampere, Finland, August 2002, 339–346
McHugh, J., Widom, J., Abiteboul, S., Luo, Q. and Rajaraman, A.: Indexing Semistructured Data. Technical Report, January, (1998)
Chen, Z., Jagadish, H.V., Korn, F., Koudas, N., Muthukrishnan, S., Raymond Ng, and Srivastava, D.: Counting twig matches in a tree. In: Proceedings of IEEE International Conference on Data Engineering, Heidelberg, Germany, April 2001. 595–604
Yager, R.: A Hierarchical Document Retrieval Language. Information Retrieval, Vol. 3, No. 4, December (2000), 357–377
Buhmann, J.M.: Data clustering and learning. In: Arbib, M. (ed.): Handbook of Brain Theory and Neural Networks. Bradfort Books, MIT Press, (1995)
Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R.: Indexing by latent semantic analysis. Journal of the ASIS, 41(6), (1990), 391–407
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Ye, J., Smeaton, A.F. (2003). Aggregated Feature Retrieval for MPEG-7. In: Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2003. Lecture Notes in Computer Science, vol 2633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36618-0_43
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DOI: https://doi.org/10.1007/3-540-36618-0_43
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