Abstract
The wide use of the Internet and the increasingly improvement of communication technologies have led users to need to manage multimedia information. In particular, there is an ample consensus about the necessity of new computational systems capable of processing images and “understand” what they contain. Such systems would ideally allow to retrieve multimedia content, to improve the way of storing it or to process the images to get some information interesting for the user. This paper presents a methodology for semi-automatically extracting knowledge from 2D still visual multimedia content, that is, images. The knowledge is acquired through the combination of several approaches: computer vision (to get and to analyse low level features), qualitative spatial analysis (to obtain high level information from low level features), ontologies (to represent knowledge), and MPEG-7 (to describe the information in a standard-way and make the system capable of performing queries and retrieve multimedia content).
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.
Similar content being viewed by others
References
Flickner, M., Shawney, H., Niblack, W., Ashley, J., Huang, Q., Dom, B.: Query by image and video content: the QBIC system. IEEE Computer 28(9), 23–32 (1995)
Jain, A.K., Vailaya, K.: Image retrieval using color and shape. Pattern recognition 29, 1233–1244 (1996)
Rui, Y., Huang, T.S., Chang, S.F.: Image retrieval: current techniques, promising directions, and open issues. Journal of Visual Communications and Image representation 10, 39–62 (1999)
Hollink, L., Nguyen, G., Schreiber, G., Wielemaker, J., Wielinga, B., Worring, M.: Adding spatial semantics to image annotations. In: Workshop of Language and Semantic Technologies to support Knowledge Management Processes. EKAW 2004 (2004)
Cohn, A.G., Hazarika, S.M.: Qualitative Spatial Representation and Reasoning: An Overview. Fundamenta Informaticae 43, 2–32 (2001)
Galton, A.: Qualitative Spatial Change. Oxford University Press, Inc., New York (2000)
Srihari, R.K., Zhang, Z.: Show&Tell: A semitautomated image annotation system. IEEE Multimedia, 61–71 (July-September 2000)
MPEG Requirements Group. MPEG-7 Overviwe, Doc. ISO/MPEG N2727, MPEG Palma de Mallorca Meeting (October 2004)
Skiadopoulos, S., Koubarakis, M.: Composing Cardinal Directions Relations. Artificial Inteligence 152, 143–171 (2004)
Hollink, L., Nguyen, G., Schreiber, G., Wielemaker, J., Wielinga, B., Worring, M.: Adding spatial semantics to image annotations. In: Workshop of Language and Semantic Technologies to support Knowledge Management Processes. EKAW 2004 (2004)
Antani, S., Lee, D.J., Rodney-Long, L., Thoma, G.R.: Evaluation of shape similarity measurement methods for spine X-ray images. Visual Communication & Image Representation 15, 285–302 (2004)
Denman, H., Rea, N., Kokaram, A.: Content Based Analysis for Video from Snooker Broadcasts. In: Lew, M., Sebe, N., Eakins, J.P. (eds.) CIVR 2002. LNCS, vol. 2383, Springer, Heidelberg (2002)
Assfalg, J., Bertini, M., Colombo, C., Del-Bimbo, A., Nunziati, W.: Semantic annotation of soccer videos: automatic highlights identification. Computer Vision and Image Understanding (2003)
Andrade, E.L., Woods, J.C., Khan, E., Ghanbari, M.: Region-based analysis and retrieval for tracking of semantic objects and provision of augmented information in interactive sport scenes. IEEE Transactions on Multimedia 7(6), 1084–1096 (2005)
Van Heijst, G., Schreiber, A.T., Wielinga, B.J.: Using explicit ontologies in KBS development. International Journal of Human-Computer Studies 45, 183–292 (1997)
Gonzalez, W.: Digital Image Processing, 2nd edn. Prentice-Hall, Englewood Cliffs (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vivancos-Vicente, P.J., Fernández-Breis, J.T., Martínez-Béjar, R., Valencia-García, R. (2006). Visual Knowledge Annotation and Management by Using Qualitative Spatial Information. In: Hoffmann, A., Kang, Bh., Richards, D., Tsumoto, S. (eds) Advances in Knowledge Acquisition and Management. PKAW 2006. Lecture Notes in Computer Science(), vol 4303. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11961239_1
Download citation
DOI: https://doi.org/10.1007/11961239_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68955-3
Online ISBN: 978-3-540-68957-7
eBook Packages: Computer ScienceComputer Science (R0)