Abstract
We propose a method of verification whether it is possible to measure image similarity by constructing a vector of metrics, regardless of what low-level features were extracted from images. We also present an on-line system which will be used to gather a dataset required to conduct the proposed experiment.
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
Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(12), 1349–1380 (2000)
Kherfi, M.L., Ziou, D., Bernardi, A.: Image retrieval from the world wide web: Issues, techniques, and systems. ACM Computing Surveys 36(1), 35–67 (2004)
Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys 40(2), 1–60 (2008)
Balmashnova, E., Florack, L.M.J.: Novel similarity measures for differential invariant descriptors for generic object retrieval. Journal of Mathematical Imaging and Vision 31(2–3), 121–132 (2008)
Guo-Dong, G., Jain, A.K., Wei-Ying, M., Hong-Jiang, Z.: Learning similarity measure for natural image retrieval with relevance feedback. IEEE Transactions on Neural Networks 13(4), 811–820 (2002)
Santini, S., Jain, R.: The graphical specification of similarity queries. Journal of Visual Languages and Computing 7(4), 403–421 (1996)
Jacobs, D.W., Weinshall, D., Gdalyahu, Y.: Classification with nonmetric distances: Image retrieval and class representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(6), 583–600 (2000)
Vleugels, J., Veltkamp, R.C.: Efficient image retrieval through vantage objects. Pattern Recognition 35(1), 69–80 (2002)
Balcan, M.F., Blum, A., Srebro, N.: A theory of learning with similarity functions. Machine Learning 72(1-2), 89–112 (2008)
Piotrowski, J.: On-line experimental setup for capturing image similarity data. In: III Konferencja Naukowo-Techniczna Doktorantów i Młodych Naukowców Młodzi naukowcy wobec wyzwań współczesnej techniki, Warsaw University of Technology, September 22–24, 2008, pp. 363–367 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Piotrowski, J. (2009). Top-Down Approach to Image Similarity Measures. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2008. Lecture Notes in Computer Science, vol 5337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02345-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-02345-3_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02344-6
Online ISBN: 978-3-642-02345-3
eBook Packages: Computer ScienceComputer Science (R0)