Abstract
A fundamental problem in any visual information processing system is the ability to search and locate the information that is relevant [1, 5, 9, 10, 15, 19]. Visual information is widely regarded [9, 10] as powerful information bearing entities that will fundamentally affect the way future information systems are built and operate. The key to effective visual information search hinges on the indexing mechanism. Without an effective index, the required information cannot be found, even though it is present in the system.
This is a preview of subscription content, log in via an institution to check access.
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
Adjeroh, D and Nwosu, KC, “Multimedia Database Management-Requirements and Issues”, IEEE Multimed, 4(4), pp. 24–33, 1997.
Asiandogan, Y and Yu, C, “Techniques and Systems for Image and Video Retrieval”, IEEE Trans Knowledge Data Eng, 11(1), pp. 56–63, 1999.
Borko, H and Bernier, C, Indexing Concepts and Methods, Academic Press, 1978.
Campanai, M, Del Bimbo, A, and Nesi, P, “Using 3D Spatial Relationships for Image Retrieval by Contents”, IEEE Workshop on Visual Languages, 1992.
Del Bimbo, A, “A Perspective View on Visual Information Retrieval Systems”, IEEE International Workshop on Content-based Access of Image and Video Libraries, pp. 108-109, 1998.
Feller, W, An Introduction to Probability Theory and its Applications, Vol. 2, Wiley, 1971.
Flicker, M, Sawhney, H, Niblack, W, Ashley, J, Huang, Q, Dom, B, Gorkani, M, Hafner, J, Lee, D, Petkovic, D, Steele, D, and Yanker, P, “Query by Image and Video Content: The QBIC System”, IEEE Computer, 28(9), pp. 23–32, 1995.
Gevers, T and Smeulders, A, “Evaluating Colour-and Shape-Invariant Image Indexing for Consumer Photography”, International Conference on Visual Information Systems, Melbourne, pp. 293-302, February, 1996.
Gupta, A and Jain, R, “Visual Information Retrieval”, Comm ACM, 40(5), pp. 70–79, 1997.
Gupta, A, Santini, S, and Jain, R, “In Search of Information in Visual Media”, Comm ACM, 40(12), pp. 35–42, 1997.
Jacobs, CE, Finkelstein, A, and Salesin, DH, “Fast Multiresolution Image Querying”, ACM SIGGRAPH, pp. 277-286, 1995.
Leung, CHC and Zheng, ZJ, “Image Data Modelling for Efficient Content Indexing”, IEEE International Workshop on Multi-media Database Management Systems, New York, pp. 143-150, August, 1995.
Pereira, F, “MPEG-7: A Standard for Content-Based Audiovisual Description”, 2nd International Conference on Visual Information Systems, San Diego, pp. 1-4, December, 1997.
Salton, G and McGill, M, Introduction to Modern Information Retrieval, McGraw-Hill, 1983.
So, WWS, Leung, CHC, and Zheng, ZJ, “Analysis and Evaluation of Search Efficiency for Image Databases”, in Image Databases and Multi-media Search, Smeulders, A and Jain, R (eds), World Scientific, pp. 253-262, 1997.
So, WWS and Leung, CHC, “Inverted Image Indexing and Compression”, SPIE Multimedia Storage and Archiving Systems II, Dallas, Texas, 3229, pp. 254–263, November, 1997.
So, WWS and Leung, CHC, “A New Paradigm in Image Indexing and Retrieval using Composite Bitplane Signatures”, IEEE International Conference on Multimedia Computing and Systems, Florence, 1, pp. 855–859, June, 1999.
Stollnitz, EJ, DeRose, TD, and Salesin, DH, Wavelets for Computer Graphics: Theory and Applications, Morgan Kaufmann Publishers, 1996.
Tarn, AM and Leung, CHC, “A Multiple Media Approach to Visual Information Search”, ACM SIGIR International Workshop on Multimedia Indexing and Retrieval, Melbourne, pp. 1-6, August, 1998.
Wactlar, HD, Kanade, T, Smith, MA, and Stevens, SM, “Intelligent Access to Digital Video: Information Project”, IEEE Computer, 29(5), pp. 46–52, May, 1996.
Wold, E, Blum, T, Keislar, D, and Wheaton, J, “Content-Based Classification, Search and Retrieval of Audio”, IEEE Multimedia, 3(3), pp. 27–36, 1996.
Zheng, ZJ and Leung, CHC, “Quantitative Measurements of Feature Indexing for 2D Binary Images of Hexagonal Grid for Image Retrieval”, IS&T/SPIE Symposium on Electronic Imaging: Science and Technology, San Jose, California, 2420, pp. 116–124, 1995.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag London
About this chapter
Cite this chapter
Leung, C., So, S., Tam, A., Sutanto, D., Tse, P. (2001). Semantic-Based Retrieval of Visual Data. In: Lew, M.S. (eds) Principles of Visual Information Retrieval. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-3702-3_12
Download citation
DOI: https://doi.org/10.1007/978-1-4471-3702-3_12
Publisher Name: Springer, London
Print ISBN: 978-1-84996-868-3
Online ISBN: 978-1-4471-3702-3
eBook Packages: Springer Book Archive