Abstract
This research addresses the problem of image retrieval by exploring the semantic relationships that exist between image annotations. This is done by using linguistic relationships encoded in WordNet, a comprehensive lexical repository. Additionally, we propose the use of a reflective user-interface where users can interactively query-explore semantically related images by varying a simple parameter that does not require knowledge about the underlying information structure. This facilitates query-retrieval in context of the emergent nature of semantics that complex media, such as images have. Experiments show the efficacy and promise of this approach which can play a significant role in applications varying from multimedia information management to web-based image search.
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
Antani, S., Kasturi, R., Jain, R.: A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video. Pattern Recognition 35(4), 945–965 (2002)
Aslandogan, Y.-A., Their, C., Yu, C., Zou, J., Rishe, N.: Using Semantic Contents and WordNet in Image Retrieval. In: Proc. SIGIR (1997)
Barnard, K., Forsyth, D.: Learning the Semantics of Words and Pictures. In: ICCV, vol. 2, pp. 408–415 (2001)
Flickner, M., et al.: Query by Image and Video Content: The QBIC System. IEEE Computer 28(9), 23–32 (1995)
Gupta, A., Santini, S., Jain, R.: In Search of Information in Visual Media. Commun. ACM 40(12), 34–42 (1997)
Pentland, A., Picard, R., Sclaroff, S.: Photobook: Content-Based Manipulation of Image Databases. Int. J. of Computer Vision 18(3) (1996)
Pinzon, J., Singh, R.: Designing An Experiential Annotation System For Personal Multimedia Information Management. In: IASTED Int. Conf. on Human-Computer Interaction (2005) (to Appear)
Santini, S., Gupta, A.: Principles of Schema Design for Multimedia Databases. IEEE Trans. on Multimedia 4(2) (2002)
Santini, S., Gupta, A., Jain, R.: Emergent Semantics Through Interaction in Image Databases. IEEE Trans. on Knowledge and Data Engineering 13(3) (2001)
Singh, R., Papanikolopoulos, N.P.: Planar Shape Recognition by Shape Morphing. Pattern Recognition 33(10), 1683–1699 (2000)
Singh, R., Li, Z., Kim, P., Pack, D., Jain, R.: Event-Based Modeling and Processing of Digital Media. In: Proc. First ACM SIGMOD Workshop on Computer Vision Meets Databases (CVDB), pp. 19–26 (2004)
Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-Based Image Retrieval at the End of the Early Years. IEEE Trans. Pattern Anal. Mach. Intell. 22(12), 1349–1380 (2000)
Syeda-Mahmood, T.-F.: Data and Model Driven Selection Using Color Regions. Int. J. of Computer Vision 21 (1997)
Yang, C., Dong, M., Fotouhi, F.: Learning the Semantics in Image Retrieval – A Natural Language Processing Approach. In: Proc. CVPR Workshops (2004)
Zhao, R., Grosky, W.: Narrowing the Semantic Gap – Improved Text-based Web Document Retrieval Using Visual Features. IEEE Trans. on Multimedia 4(2), 189–200 (2002)
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
Zambrano, B., Singh, R., Bhattarai, B. (2005). Using Linguistic Models for Image Retrieval. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds) Advances in Visual Computing. ISVC 2005. Lecture Notes in Computer Science, vol 3804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595755_60
Download citation
DOI: https://doi.org/10.1007/11595755_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30750-1
Online ISBN: 978-3-540-32284-9
eBook Packages: Computer ScienceComputer Science (R0)