Abstract
This paper presents results, at an early stage of research work, of the use of fuzzy decision trees in a multimedia framework. We present the discovery of rules in three different indexing scenarios. These rules represent knowledge that can be interpreted as guidelines for the development of better indexing tools. We use a fuzzy decision tree algorithm to extract these rules (just) from color proportions of key-frames extracted from one video-news broadcast. Experimental results and comparisons with other data mining tools are presented.
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
Marsala, C., Bouchon-Meunier, B.: An Adaptable System to Construct Fuzzy Decision Trees. In: Proceedings of NAFIPS 1999, New-York, June 1999, pp. 223–227 (1999)
Detyniecki, M., Marsala, C.: Fuzzy inductive learning for multimedia mining. In: Proceedings of EUSFLAT 2001, pp. 390-393 (Leicester, UK, September 2001)
Detyniecki, M., Marsala, C.: Fuzzy Multimedia Mining Applied to Video News. In: Proceedings of the IPMU 2002 Conference, pp. 1001-1008 (Annecy, France, July 2002)
Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P.: From Data Mining to Knowledge Discovery in Databases. AI Magazine 17(3), 37–54 (1996)
First Workshop of Multimedia Data Mining, http://www.cs.ualberta.ca/~zaiane/mdm_kdd2000/
Bouchon-Meunier, B., Marsala, C., Ramdani, M.: Learning from Imperfect Data in Fuzzy Information Engineering: a Guided Tour of Applications. In: Dubois, D., Prade, H., Yager, R.R. (eds.), ch. 8, pp. 139–148 (1997)
Ruiloba, R., Joly, P.: Framework for evaluation of video-to-shots segmentation algorithms. Video Data special issue of Networking and Information Systems 3, 46–57 (2000)
Weka 3 - Machine Learning Software in Java, http://www.cs.waikato.ac.nz/~ml/weka/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Detyniecki, M. (2004). Adaptive Discovery of Indexing Rules for Video. In: Nürnberger, A., Detyniecki, M. (eds) Adaptive Multimedia Retrieval. AMR 2003. Lecture Notes in Computer Science, vol 3094. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25981-7_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-25981-7_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22163-0
Online ISBN: 978-3-540-25981-7
eBook Packages: Springer Book Archive