AMR 2003: Adaptive Multimedia Retrieval pp 176-184 | Cite as

Adaptive Discovery of Indexing Rules for Video

  • Marcin Detyniecki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3094)

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Marcin Detyniecki
    • 1
  1. 1.CNRS, LIP6Université Paris 6ParisFrance

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