Abstract
The importance of the visual information search problem has given rise to a large number of systems and prototypes being built to perform such search. While different systems clearly have their particular strengths, they tend to use different collections to highlight the advantages of their algorithms. Consequently, a degree of bias may exist, and it also makes it difficult to make comparisons concerning the relative superiority of different algorithms. In order for the field of visual information search to make further progress, a need therefore exists for a standardised benchmark suite to be developed. By having a uniform measure of search performance, research progress can be more easily recognised and charted, and the resultant synergy will be essential to further development of the field. This paper presents concrete proposals concerning the development of such a benchmark, and by adopting an extensible framework, it is able to cater for a wide variety of applications paradigms and to lend itself to incremental refinement.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
D. Adjeroh, and K. C. Nwosu, “Multimedia database management — requirements and issues”, IEEE Multimedia, Vol. 4, No. 4, 1997, pp. 24–33.
M. Campanai, Del Bimbo, A., and Nesi, P., “Using 3D spatial relationships for image retrieval by contents”, Proc. IEEE Workshop on Visual Languages, 1992.
F. Chang, et. al., “Visual information retrieval from large distributed online repositories”, Comm. ACM, Vol. 40, No. 12, 1997, pp. 63–71.
C. Colombo, A. Del Bimbo, and P. Pala, “Semantics in visual information retrieval”, IEEE Multimedia, July-September, 1999.
U. Gargi, and R. Kasturi, “Image database querying using a multi-scale localised colour representation”, in Proc. IEEE Workshop on Content-based Access of Image and Video Libraries, Fort Collins, 1999.
M. Flickner, et. al., “Query by image and video content: the QBIC system”, IEEE Computer, Vol. 28, No. 9, September 1995, pp. 23–32.
J. Gray, “A measure of transaction processing power”, Datamation, 1985.
W. I. Grosky, “Managing multimedia information in database systems”, Comm. ACM, Vol. 40, No. 12, 1997, pp. 72–80.
V. N. Gudivada and V. Raghavan, “Modeling and retrieving images by content”, Information Processing & Management, Vol. 33, No. 4, pp. 427–452, 1997.
A. Gupta and R. Jain, “Visual information retrieval”, Comm. ACM, Vol. 40, No.5, 1997, pp. 70–79.
A. Gupta, S. Santini, and R. Jain, “In search of information in visual media”, Comm. ACM, Vol. 40, No.12, 1997, pp. 35–42.
H. H. S. Ip, K. C. K. Law, and S. L. Chan, “An open framework for a multimedia medical document system”, J. Microcomputer Applications, Vol. 18, pp. 215–232, 1995.
K. C. K. Law, H. H. S. Ip,, and F. Wei, “An abstract layered model for hypermedia document system”, Proc. IEEE International Conference on Multimedia Computing and Systems, Florence, 1999, pp. 11–15.
G. Lawton, “Storage technology takes center stage”, IEEE Multimedia, Vol. 32, No. 11, 1999, pp. 10–12.
C. H. C. Leung and D. Hibler, Architecture of a Pictorial Database Management System. British Library Research Report, London, 1991.
C. H. C. Leung and D. Sutanto, “Multimedia data modeling and management for semantic content retrieval”, in Handbook of Multimedia Computing, B. Fuhrt (Ed.), CRC Press, 1999.
C. H. C. Leung and Z. J. Zheng, “Image data modelling for efficient content indexing”, Proc. IEEE International Workshop on Multi-media Database Management Systems, New York, August 1995, IEEE Computer Society Press, pp. 143–150
C. H. C. Leung (Ed.) Visual Information Systems. Springer-Verlag Lecture Notes in Computer Science LNCS 1306, Heidelberg, 1997.
C. H. C. Leung, and A. M. Tam, “Validation experiment for structured annotation DS”, ISO/IEC JTC1/SC29/WG11 MPEG00/M5855, Noordwijkerhout, NL, March 2000.
C. H. C. Leung, and A. M. Tam, “Workplan for CE on DSs for linguistic structure”, ISO/IEC JTC1/SC29/WG11 MPEG00/W3254, Noordwijkerhout, NL, March 2000.
W. S. Li et. al. “Hierarchical image modelling for object-based media retrieval”, Data and Knowledge Engineering 27, 1998, pp. 139–176.
D. Narasimhalu, M. Kankanhalli, and J. K. Wu, “Benchmarking multimedia databases”, Multimedia Tools and Applications, Vol. 4, 1997, pp. 333–356.
F. Pereira, “MPEG-7: A standard for content-based audiovisual description”, Proc. 2nd International Conference on Visual Information Systems, San Diego, Dec 1997, pp. 1–4.
Salton, G. Automatic Text Processing. Addison-Wesley, Reading, MA,1989.
J. Smith and S. F. Chang, “Visually searching the Web for content”, IEEE Multimedia, Vol. 4, No. 3, 1997, pp. 12–20.
W.W.S. So, C. H. C. Leung and Z. J. Zheng, “Analysis and evaluation of search efficiency for image databases”, in Image Databases and Multi-media Search A. Smeulders and R. Jain (Eds.), World Scientific, 1997.
R. K. Srihari and Z. Zhang, “A multimedia image annotation, indexing, and retrieval system”, Proc. 1998 ACM SIGIR International Workshop on Multimedia Indexing and Retrieval, Melbourne, August 1998, pp. 29–45.
Standard Performance Evaluation Corporation, http://open.specbench.org/.
A. M. Tam and C. H. C. Leung, “A multiple media approach to visual information search,” Proc. 1998 ACM SIGIR International Workshop on Multimedia Indexing and Retrieval, Melbourne, August 1998, pp. 1–6.
A. M. Tam, and C. H. C. Leung, “Semantic content retrieval and structured annotation: beyond keywords”, ISO/IEC JTC1/SC29/WG11 MPEG00/M5738, Noordwijkerhout, NL, March 2000.
Transaction Processing Performance Council, http://www.tpc.org/.
L. Yang, and Wu, J., “Towards a semantic image database system,” Data & Knowledge Engineering, Vol. 22, No. 3, May 1997, pp. 207–227.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Leung, C.H.C., Ip, H.H.S. (2000). Benchmarking for Content-Based Visual Information Search. In: Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2000. Lecture Notes in Computer Science, vol 1929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40053-2_39
Download citation
DOI: https://doi.org/10.1007/3-540-40053-2_39
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41177-2
Online ISBN: 978-3-540-40053-0
eBook Packages: Springer Book Archive