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Benchmarking Multimedia Databases

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Abstract

Multimedia technologies are being adopted both in the professional and commercial world with great enthusiasm. This has led to a significant interest in the research and development of multimedia databases. However, none of these efforts have really addressed the issues related to the benchmarking of multimedia databases. We analyze the problem of benchmarking multimedia databases in this paper and suggest a methodology.

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References

  1. Anon et. al., “A measure of transaction processing power,” Readings in Database Systems, M. Stonebraker (Ed.), Morgan Kaufmann Publishers, Inc.: San Mateo, CA, pp. 300–312, 1988.

    Google Scholar 

  2. D. Bitton and C. Turbyfill, “A Retrospective on the wisconsin benchmark,” Readings in Database Systems, M. Stonebraker (Ed.), Morgan Kaufmann Publishers, Inc.: San Mateo, CA, pp. 280–299, 1988.

    Google Scholar 

  3. http://potomac.ncsl.nist.gov:80/TREC/

  4. http://www.dcs.gla.ac.uk/mira/

  5. F.W. Lancaster, Information Retrieval Systems, John Wiley, 1968.

  6. B.M. Mehtre, M.S. Kankanhalli, A.D. Narasimhalu, and C.M. Guo, “Color matching for image retrieval,” Pattern Recognition Letters, Vol. 16, pp. 325–331, 1995.

    Google Scholar 

  7. A.D. Narasimhalu, “Beyond recall and precision: Additional measures for multimedia applications and services,” MIRO Workshop, Glasgow, Sept. 1995.

  8. G. Salton and M.J. McGill, Introduction to Modern Information Retrieval, McGraw-Hill Advanced Computer Science Series, Auckland, 1983.

    Google Scholar 

  9. G. Salton, The State of Retrieval System Evaluation, Information Processing and Management, Vol. 28, No. 4, pp. 441–449, 1992.

    Google Scholar 

  10. L. Wong, Personal Communication, 1995.

  11. P. Wright, “Cognitive overheads and prostheses: Some issues in evaluating hypertexts,” Proceedings of Third ACM Conference on Hypertext, San Antonio, Texas, Dec. 1991, pp. 1–12.

  12. J.K. Wu, Y.H. Ang, C.P. Lam, H.H. Loh, and A.D. Narasimhalu, “Inference and retrieval of facial images,” ACM Multimedia Journal, Vol. 2, No. 1, pp. 1–14, 1994.

    Google Scholar 

  13. J.K. Wu, B.M. Mehtre, Y.J. Gao, P.C. Lam, and A.D. Narasimhalu, “STAR—A multimedia database system for trademark registration,” Applications of Databases, Lecture Notes in Computer Science, Vol. 819, pp. 109–122, W. Litwin and T. Risch (Eds.), Proc. First International Conference on Applications of Databases—ADB' 94, Springer-Verlag, 1994.

  14. J.K. Wu, A.D. Narasimhalu, B.M. Mehtre, C.P. Lam, and Y.J. Gao, “CORE: A content-based retrieval engine for multimedia databases,” ACM Multimedia Systems, Vol. 3, pp. 3–25, 1995.

    Google Scholar 

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Narasimhalu, A.D., Kankanhalli, M.S. & Wu, J. Benchmarking Multimedia Databases. Multimedia Tools and Applications 4, 333–356 (1997). https://doi.org/10.1023/A:1009641123797

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  • DOI: https://doi.org/10.1023/A:1009641123797

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