Abstract
Traditional content based image retrieval attempts to retrieve images using syntactic features for a query image. Annotated image banks and Google allow the use of text to retrieve images. In this paper, we studied the task of using the content of an image to retrieve information in general. We describe the significance of object identification in an information retrieval paradigm that uses image set as intermediate means in indexing and matching. We also describe a unique Singapore Tourist Object Identification Collection with associated queries and relevance judgments for evaluating the new task and the need for efficient image matching using simple image features. We present comprehensive experimental evaluation on the effects of feature dimensions, context, spatial weightings, coverage of image indexes, and query devices on task performance. Lastly we describe the current system developed to support mobile image-based tourist information retrieval.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Fan, J., Gao, Y., Luo, H., Xu, G.: Automatic image annotation by using concept-sensitive salient objects for image content representation. In: SIGIR 2004: Proceedings of the 27th annual international conference on Research and development in information retrieval, pp. 361–368. ACM Press, New York (2004)
Feiner, S., MacIntyre, B., Höllerer, T., Webster, A.: A touring machine: Prototyping 3d mobile augmented reality systems for exploring the urban environment. In: Proceedings ISWC 1997 (First IEEE Int. Symp. on Wearable Computers), October 13-14. Personal Technologies, vol. 1(4), pp. 208–217 (1997)
Haritaoglu, I.: Infoscope: Link from real world to digital information space. In: Abowd, G.D., Brumitt, B., Shafer, S. (eds.) UbiComp 2001. LNCS, vol. 2201, pp. 247–255. Springer, Heidelberg (2001)
Mai, W., Dodds, G., Tweed, C.: In: Crestani, F., Dunlop, M.D., Mizzaro, S. (eds.) Mobile HCI International Workshop 2003. LNCS, vol. 2954, pp. 143–157. Springer, Heidelberg (2004)
Paschos, G.: Perceptually uniform color spaces for color texture analysis: an empirical evaluation. IEEE Trans. on Image Processing 10(6), 932–937 (2001)
Smith, A.R.: Color gamut transform pairs. In: SIGGRAPH 1978: Proceedings of the 5th annual conference on Computer graphics and interactive techniques, pp. 12–19. ACM Press, New York (1978)
Swain, M., Ballard, D.: Color indexing. Intl. J. Computer Vision 7(1) (1991)
Tollmar, K., Yeh, T., Darrell, T.: Ideixis – searching the web with mobile images for location-based information. In: Brewster, S., Dunlop, M.D. (eds.) Mobile HCI 2004. LNCS, vol. 3160, pp. 288–299. Springer, Heidelberg (2004)
Xu, J., Weischedel, R., Licuanan, A.: Evaluation of an extraction-based approach to answering definitional questions. In: SIGIR 2004: Proceedings of the 27th annual international conference on Research and development in information retrieval, pp. 418–424. ACM Press, New York (2004)
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
Chevallet, JP., Lim, JH., Leong, MK. (2005). Object Identification and Retrieval from Efficient Image Matching: Snap2Tell with the STOIC Dataset. In: Lee, G.G., Yamada, A., Meng, H., Myaeng, S.H. (eds) Information Retrieval Technology. AIRS 2005. Lecture Notes in Computer Science, vol 3689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562382_8
Download citation
DOI: https://doi.org/10.1007/11562382_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29186-2
Online ISBN: 978-3-540-32001-2
eBook Packages: Computer ScienceComputer Science (R0)