Abstract
In the paper a content-based image retrieval system (CBIR) is considered. We discuss some aspects of image representation and their retrieval when imprecision plays an important role. The sources of imprecision are identified and some ways of dealing with it are proposed. The discussion is illustrated with an example of our pilot implementation of such a CBIR 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
Berzal, F., Cubero, J.C., Kacprzyk, J., Marín, N., Vila, M.A., Zadrożny, S.: A general framework for computing with words in object-oriented programming. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(suppl.), 111–131 (2007)
Bosc, P., Duval, L., Pivert, O.: Value-based and representation-based querying of possibilistic databases. In: Bordogna, G., Pasi, G. (eds.) Recent Issues on Fuzzy Databases, pp. 3–27. Physica-Verlag, Heidelberg (2000)
Candan, K.S., Li, W.S.: On similsrity measures for multimedia database applications. Knowledge and Imformation Systems 3, 30–51 (2001)
Chamorro-Martnez, J., Snchez, D., Soto-Hidalgo, J.: A novel histogram definition for fuzzy color spaces. In: IEEE International Conference on Fuzzy Systems, Hong Kong, China, June 2008, pp. 2149–2156 (2008)
Chow, T., Rahman, M., Wu, S.: Content-based image retrieval by using tree-structure features and multi-layer self-organizing map. Pattern Analysis and Applications 9(1), 1–20 (2006)
Cross, V., Sudkamp, T.: Similarity and Compatibility in Fuzzy Set Theory. Studies in Fuzziness and Soft Computing, vol. 93. Physica–Verlag/Springer, Heidelberg/New York (2002)
Deb, S.: Multimedia Systems and Content-Based Image Retrieval. IDEA Group Publishing, Melbourne (2004)
Dubois, D., Prade, H., Sedes, F.: Fuzzy logic techniques in multimedia database querying: A preliminary investigation of the potentials. IEEE Trans. Knowl. Data Eng. 13(3), 383–392 (2001)
Flickner, M., Sawhney, H., et al.: Query by image and video content: The QBIC system. IEEE Computer 28(9), 23–32 (1995)
Hallez, A., Bronselaer, A., De Tré, G.: Comparison of sets and multisets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 17(suppl. 1), 153–172 (2009)
Jaworska, T.: Object extraction as a basic process for content-based image retrieval (CBIR) system. Opto-Electronics Review 15, 184–195 (2007)
Jaworska, T.: The inner structure of database for the CBIR system. In: Mohammadian, M. (ed.) Proceedings of International Conference on Computational Intelligence for Modelling, Control and Automation - CIMCA ’08, Vienna, pp. 30–36 (2008)
Jaworska, T.: Multi-criteria object indexing and graphical user query as an aspect of content-based image retrieval system. In: Borzemski, L., Grzech, A. (eds.) Information Systems Architecture and Technology, pp. 103–112. Wyd. Pol. Wroclawskiej, Wroclaw (2009)
Kacprzyk, J., Zadrożny, S.: Computing with words in intelligent database querying: standalone and internet-based applications. Information Sciences 134(1-4), 71–109 (2001)
Marín, N., Medina, J.M., Pons, O., Sánchez, D., Miranda, M.A.V.: Complex object comparison in a fuzzy context. Information & Software Technology 45(7), 431–444 (2003)
Niblack, W., Flickner, M., et al.: The QBIC project: Query image by content using colour, texture and shape. In: SPIE, vol. 1908, pp. 173–187 (1993)
Ogle, V., Stonebraker, M.: Chabot: Retrieval from relational database of images. IEEE Computer 28(9), 40–48 (1995)
Prados-Suárez, B., Chamorro-Martínez, J., Sánchez, D., Abad, J.: Region-based fit of color homogeneity measures for fuzzy image segmentation. Fuzzy Sets Syst. 158(3), 215–229 (2007)
Yager, R., Petry, F.: A framework for linguistic relevance feedback in content-based image retrieval using fuzzy logic. Information Sciences 173(4), 337–352 (2005)
Zadeh, L.A., Kacprzyk, J. (eds.): Computing with Words in Information/Intelligent Systems. Foundations. Applications. Studies in Fuzziness and Soft Computing, vol. 1, vol. 2, vol. 33. Physica–Verlag/Springer–Verlag, Heidelberg/New York (1999)
Zhou, X.M., Ang, C.H., Ling, T.W.: Image retrieval based on object’s orientation spatial relationship. Pattern Recogn. Lett. 22(5), 469–477 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jaworska, T., Kacprzyk, J., Marín, N., Zadrożny, S. (2010). On Dealing with Imprecise Information in a Content Based Image Retrieval System. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Computational Intelligence for Knowledge-Based Systems Design. IPMU 2010. Lecture Notes in Computer Science(), vol 6178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14049-5_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-14049-5_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14048-8
Online ISBN: 978-3-642-14049-5
eBook Packages: Computer ScienceComputer Science (R0)