Abstract
At present a great deal of research is being done in different aspects of Content-Based Image Retrieval System (CBIR). Unfortunately, these aspects are mostly analysed separately. We propose how to put together vectors of features for segmented objects and a spatial relationship of the objects. To achieve this goal we have constructed a search engine taking into account multi-set data mining and object spatial relationship. Additionally, we have constructed a graphical user interface (GUI) to enable the user to build a query by image. The efficiency of our system will be evaluated in the near future. In this paper we present the search engine for our CBIR.
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
Deb, S. (ed.): Multimedia Systems and Content-Based Image Retrieval, ch. VII and XI. IDEA Group Publishing, Melbourne (2004)
Flickner, M., Sawhney, H., et al.: Query by Image and Video Content: The QBIC System. IEEE Computer 28(9), 23–32 (1995)
Niblack, W., Flickner, M., et al.: The QBIC Project: Querying Images by Content Using Colour, Texture and Shape. In: SPIE, vol. 1908, pp. 173–187 (1993)
Ogle, V., Stonebraker, M.: CHABOT: Retrieval from a Relational Database of Images. IEEE Computer 28(9), 40–48 (1995)
Pons, O., Vila, M.A., Kacprzyk, J.: Knowledge management in fuzzy databases. Studies in Fuzziness and Soft Computing, vol. 39. Physica –Verlag, Heidelberg (2000)
Lee, J., Kuo, J.-Y., Xue, N.-L.: A note on current approaches to extent fuzzy logic to object oriented modeling. International Journal of Intelligent Systems 16, 807–820 (2001)
Berzal, F., Cubero, J.C., Kacprzyk, J., Marin, N., Vila, M.A., Zadrożny, S.: A General Framework for Computing with Words in Object-Oriented Programming. In: Bouchon-Meunier, B. (ed.) International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems., vol. 15(Supplement), pp. 111–131. World Scientific Publishing Company, Singapore (2007)
Cubero, J.C., Marin, N., Medina, J.M., Pons, O., Vila, M.A.: Fuzzy Object Management in an Object-Relational Framework. In: Proceedings of the 10th International Conference IPMU, Perugia, Italy, pp. 1775–1782 (2004)
Candan, K.S., Li, W.-S.: On Similarity Measures for Multimedia Database Applications. Knowledge and Information Systems 51(3), 30–51 (2001)
Chang, S.K., Shi, Q.Y., Yan, C.W.: Iconic indexing by 2D strings. IEEE Trans. Pattern Anal. Machine Intell. 9(5), 413–418 (1987)
Chang, S.K., Jungert, E., Li, Y.: Representation and retrieval of symbolic pictures using generalized 2D string. In: SPIE Proc. on Visual Comm. and Image Process. Philadelphia, pp. 1360–1372 (1989)
Chang, C.C., Wu, T.C.: Retrieving the most similar symbolic pictures from pictorial databases. Informat. Process. Manage. 28(5), 581–588 (1992)
Wu, T.C., Chang, C.C.: Application of geometric hashing to iconic database retrieval. Pattern Recognition Letters 15, 871–876 (1994)
Zhou, X.M., Ang, C.H., Ling, T.W.: Image retrieval based on object’s orientation spatial relationship. Pattern Recognition Letters 22, 469–477 (2001)
Jaworska, T.: Object extraction as a basic process for content-based image retrieval (CBIR) system. In: Opto-Electronics Review, Association of Polish Electrical Engineers (SEP), Warsaw, vol. 15(4), pp. 184–195 (2007)
Jaworska, T.: Database as a Crucial Element for CBIR Systems. In: Proceedings of the 2nd International Symposium on Test Automation and Instrumentation, vol. 4, pp. 1983–986. World Publishing Corporation, Beijing (2008)
Smith, J.R., Chang, S.-F.: Integrated spatial and feature image query. Multimedia Systems 7, 129–140 (1999)
Chang, C.C.: Spatial match retrieval of symbolic pictures. J. Informat. Sci. Eng. 7, 405–422 (1991)
Chang, C.C., Wu, T.C.: An exact match retrieval scheme based upon principal component analysis. Pattern Recognition Letters 16, 465–470 (1995)
Guru, D.S., Punitha, P.: An invariant scheme for exact match retrieval of symbolic images based upon principal component analysis. Pattern Recognition Letters 25, 73–86 (2004)
Teague, M.R.: Image analysis via the general theory of moments. In: JOSA, 8th edn., vol. 70, pp. 920–930 (1980)
Jaworska, T.: Graphical Object Classification and Query by Image as an Aspect of Content-Based Image Retrieval System. In: Owsiński, J. (ed.) Studies and Materials of Polish Operational and Systems Research Society, Bydgoszcz, Poland, vol. 32, pp. 269–282 (2010)
Newman, W.M., Lamming, M.G.: Interactive System Design. Addison-Wesley, Harlow (1996)
Mucha, M., Sankowski, P.: Maximum Matchings via Gaussian Elimination. In: Proceedings of the 45th Annual Symposium on Foundations of Computer Science (FOCS 2004), pp. 248–255 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jaworska, T. (2011). A Search-Engine Concept Based on Multi-feature Vectors and Spatial Relationship. In: Christiansen, H., De Tré, G., Yazici, A., Zadrozny, S., Andreasen, T., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2011. Lecture Notes in Computer Science(), vol 7022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24764-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-24764-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24763-7
Online ISBN: 978-3-642-24764-4
eBook Packages: Computer ScienceComputer Science (R0)