Abstract
This work presents a content-based image retrieval system of general purpose that deals with cluttered scenes containing a given query object. The system is flexible enough to handle with a single image of an object despite its rotation, translation and scale variations. The image content is divided in parts that are described with a combination of features based on geometrical and color properties. The idea behind the feature combination is to benefit from a fuzzy similarity computation that provides robustness and tolerance to the retrieval process. The features can be independently computed and the image parts can be easily indexed by using a table structure on every feature value. Finally a process inspired in the alignment strategies is used to check the coherence of the object parts found in a scene. Our work presents a system of easy implementation that uses an open set of features and can suit a wide variety of applications.
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
Huang, T., Rui, Y.: Image retrieval: Past, present, and future. In: International Symposium on Multimedia Information Processing (1997)
Forsyth, D.A., Malik, J., Fleck, M.M., Greenspan, H., Leung, T.K., Belongie, S., Carson, C., Bregler, C.: Finding Pictures of Objects in Large Collections of Images. In: Object Representation in Computer Vision, pp. 335–360 (1996)
Fodor, I.K.: Statistical Techniques to Find Similar Objects in Images. In: Proceedings of the American Statistical Association (October 2003)
Luo, J., Nascimento, M.A.: Content Based Sub-Image Retrieval via Hierarchical Tree Matching. In: Proceedings of ACM MMDB 2003, New Orleans, USA, November 2003, pp. 63–69 (2003)
Lewis, P.H., Martinez, K., Abas, F.S., Ahmad Fauzi, M.F., Addis, M., Lahanier, C., Stevenson, J., Chan, S.C.Y., Mike, J.B., Paul, G.: An Integrated Content and Metadata based Retrieval System for Art. IEEE Trans. on Image Proc. 13(3), 302–313 (2004)
Huet, B., Cross, A., Hancock, E.R.: Shape Retrieval by Inexact Graph Matching. In: ICMCS, vol. 1, pp. 772–776 (1999)
Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide-baseline stereo from maximally stable extremal regions. Image Vision Computing 22(10), 761–767 (2004)
Lowe, D.G.: Object Recognition from Local Scale-Invariant Features. In: ICCV, pp. 1150–1157 (1999)
Lamiroy, B., Gros, P., Picard, S.: Combining Local Recognition Methods for Better Image Recognition. Vision 17(2), 1–6 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Borràs, A., Lladós, J. (2007). Similarity-Based Object Retrieval Using Appearance and Geometric Feature Combination. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72849-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-540-72849-8_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72848-1
Online ISBN: 978-3-540-72849-8
eBook Packages: Computer ScienceComputer Science (R0)