A NEW SUPPORT FOR OBJECTS CLASSIFICATION IN MULTIMEDIA INFORMATION RETRIEVAL

Walter Balzano, Maria Rosaria Del Sorbo, Antonio Tarantino

Abstract

Multimedia databases store huge amount of heterogeneous information, but the user’s queries usually search for just very short sections of data hidden and mixed with each other. This work presents a support methodology for Information Retrieval Systems on a collection of Multimedia Data Objects. The main idea of this retrieval methodology exploits raw metadata information stored in multimedia objects to realize a classification using an innovative approach, based on a spatial dispersion index. A convenient synthetic representation of multimedia objects is drawn from the Lexical Database WordNet. It provides the system with synonymic and polysemic Semantic Knowledge. With the aim to achieve an alternative segmentation on document classes, a clustering algorithm based on the Nearest Neighbour geospatial index is finally used.

References

  1. Barry, C.L., 1994. User-defined relevance criteria: An exploratory study. Journal of the American Society for Information Science 45, pp. 149-159.
  2. Blanken H. M., de Vries A.P., Blok H. E., Feng L., 2007. Multimedia Retrieval, Springer.
  3. Boffi, M., 2008. Scienza dell'Informazione Geografica (Introduzione ai GIS), Zanichelli. Bologna, 1st edition.
  4. Chou, G., Teller S., 1997. Multi-Image Correspondence Using Geometric and Structural Constraints, Proc. Image Understanding Workshop, pp. 869-874.
  5. Clark P. J., Evans F. C., 1954. Distance to nearest neighbor as a measure of spatial relationship in populations, Ecology, vol. 35.
  6. Clark P. J., Evans F. C., 1979. Generalization of a Nearest Neighbor Measure of Dispersion for Use in K Dimensions, Ecology, vol. 60.
  7. do Prado H.A., Ferneda E., 2008. Emerging Technologies of Text Mining, Information Science Reference, Hershey, PA.
  8. Fotheringham A.S., Rogerson P.A., 1994. Spatial Analysis and GIS. Taylor & Francis.
  9. Jia, J., Wang, J. Z., 2003. Automatic linguistic indexing of pictures by a statistical modelling approach. In IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1075-1088.
  10. Jurafsky D., Martin J. H., 2000. Speech and Language Processing. Prentice Hall.
  11. Kogan J., Nicholas C., Teboulle M., 2006. Grouping Multidimensional Data: Recent Advances In Clustering. Springer.
  12. Lu G., 1999. Multimedia Database Management Systems, Artech House, Boston-London.
  13. Mac Queen J. B., 1967.Some Methods for classification and Analysis of Multivariate Observations, Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, Berkeley.
  14. Salton, G., McGill M.J., 1983. Introduction to Modern Information Retrieval. McGraw-Hill.
  15. Salton, G., Buckley C., 1988. Term weighting approaches in automatic text retrieval. In Information Processing and Management, 24(5), 513-523.
  16. Graham J. Upton, G. J., Fingelton B., 1985. Spatial Data Analysis by Example. Volume 1: Point Pattern and Quantitative Data. John Wiley & Sons, New York.
  17. Thompson H. R., 1956. Distribution of distance to Nth in a Population of Randomly Distributed Individuals, Ecology, vol. 37.
  18. Upton, G. J. G., Fingleton B., 1985. Spatial Data Analysis by Example, Vol. 1. John Wiley, NY.
  19. Van Rijsbergen, C.J., 1981. Information Retrieval, Dept. of Computer Science, University of Glasgow.
  20. Wang, J. Z., Jia, J., Wiederhold, G., 2001. SIMPLIcity: Semantics-sensitive Integrated Matching for Picture Libraries. In IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 23, no.9, pp. 947-963.
  21. Wootton C., 2007. Developing Quality Metadata, Focal Press.
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Paper Citation


in Harvard Style

Balzano W., Rosaria Del Sorbo M. and Tarantino A. (2010). A NEW SUPPORT FOR OBJECTS CLASSIFICATION IN MULTIMEDIA INFORMATION RETRIEVAL . In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST, ISBN 978-989-674-025-2, pages 226-233. DOI: 10.5220/0002809902260233


in Bibtex Style

@conference{webist10,
author={Walter Balzano and Maria Rosaria Del Sorbo and Antonio Tarantino},
title={A NEW SUPPORT FOR OBJECTS CLASSIFICATION IN MULTIMEDIA INFORMATION RETRIEVAL},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST,},
year={2010},
pages={226-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002809902260233},
isbn={978-989-674-025-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST,
TI - A NEW SUPPORT FOR OBJECTS CLASSIFICATION IN MULTIMEDIA INFORMATION RETRIEVAL
SN - 978-989-674-025-2
AU - Balzano W.
AU - Rosaria Del Sorbo M.
AU - Tarantino A.
PY - 2010
SP - 226
EP - 233
DO - 10.5220/0002809902260233