AMR 2003: Adaptive Multimedia Retrieval pp 176-184 | Cite as
Adaptive Discovery of Indexing Rules for Video
Conference paper
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.
Keywords
Video News Color Palette Fuzzy Decision Tree Indexing Rule Shot Detection
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Preview
Unable to display preview. Download preview PDF.
References
- 1.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)Google Scholar
- 2.Detyniecki, M., Marsala, C.: Fuzzy inductive learning for multimedia mining. In: Proceedings of EUSFLAT 2001, pp. 390-393 (Leicester, UK, September 2001)Google Scholar
- 3.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)Google Scholar
- 4.Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P.: From Data Mining to Knowledge Discovery in Databases. AI Magazine 17(3), 37–54 (1996)Google Scholar
- 5.First Workshop of Multimedia Data Mining, http://www.cs.ualberta.ca/~zaiane/mdm_kdd2000/
- 6.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)Google Scholar
- 7.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)Google Scholar
- 8.Weka 3 - Machine Learning Software in Java, http://www.cs.waikato.ac.nz/~ml/weka/
Copyright information
© Springer-Verlag Berlin Heidelberg 2004