Abstract
To overcome the drawbacks of both keywords-based and content-based image retrieval approaches, we propose a hybrid solution for image retrieval on WWW. A content organisation system is introduced to assess content-based similarity of results returned from contemporary image search engines so that the results are organised with content similarity, and alternative search modes such as query by example are also enabled.
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
Google: Image search (2005), http://images.google.com/
Entlich, R.: FAQ image search engines. RLG DigiNews 5 (2001)
TASI: A review of image search engines (2004)
Veltkamp, R., Tanase, M.: Content-based image retrieval systems: a survey. Technical Report UU-CS-2004-34, Department of Computing Science, Utrecht University (2002)
Smith, J.R., Chang, S.F.: WebSEEK - a content-based image and video search and catalog tool for the web (2005)
Manjunath, B., Ohm, J., Vasudevan, V., Yamada, A.: Colour and texture descriptors. IEEE Trans on Circuits and Systems for Video Technology 11, 703–715 (2001)
Funt, B., Kulpinski, D., Cardei, V.: Non-linear embeddings and the underlying dimensionality of reflectance spectra and chromaticity histograms. In: Proc. IS&T/SID Color Imaging Conference 2001, pp. 126–129 (2001)
Tenenbaum, J., De Silva, V., Langford, J.: A global geometric framework for nonlinear dimensionality reduction. Science 290, 2319–2323 (2000)
Wang, J., Li, J., Wiederhold, G.: Simplicity: Semantics-sensitive integrated matching for picture libraries. IEEE Transactions on Pattern Analysis and Machine Intelligence 23, 947–963 (2001)
Kohonen, T.: Self-organizing Maps, 2nd edn. Springer, Heidelberg (1997)
Laaksonen, J., Koskela, M., Oja, E.: Content-based image retrieval using selforganizing maps. In: Visual Information and Information Systems, pp. 541–548 (1999)
Deng, D.: Content-based profiling of image collections: a som-based approach. International Journal of Computers, Systems and Signals 5, 44–52 (2004)
Benitez, A.B., Beigi, M., Chang, S.F.: Using relevance feedback in content-based image metasearch. IEEE Internet Computing 2, 58–69 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Deng, D., Wolf, H. (2005). POISE – Achieving Content-Based Picture Organisation for Image Search Engines. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_1
Download citation
DOI: https://doi.org/10.1007/11552451_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28895-4
Online ISBN: 978-3-540-31986-3
eBook Packages: Computer ScienceComputer Science (R0)