Discovering knowledge for better video indexing based on colors
Marcin Detyniecki, Christophe Marsala · 2004
In this paper, we present the discovery of rules for different challenges encountered in video indexing. These rules should be considered as knowledge that can be used as a guideline for the development of better indexing tools. We use a fuzzy decision tree to extract the rules based on color proportions of key-frames extracted from one single video-news. Experimental results and comparisons with other data mining tools are presented.