Refereed full papers (journals, book chapters, international conferences)

2004

@article{CVL2004,
	vgclass =	{refpap},
	author =	{Ren\'{e} Cavet and Stephan Volmer and Edda Leopold and
	J\"{o}rg Kindermann and Gerhard Paa\ss},
	title =	{Revealing the connoted visual code: a new approach to
	video classification},
	journal =	{Computers \& Graphics},
	volume =	{28},
	number =	{3},
	pages =	{361--369},
	month =	{June},
	year =	{2004},
	url =	{http://dx.doi.org/10.1016/j.cag.2004.03.002},
	abstract =	{In this paper, we present a new approach for classifying
	video content into semantic classes at a high level of abstraction by
	exploiting the connoted visual code. The method is based on the concept
	of supervised learning algorithms that have already been applied for
	the classification of written text and spoken language quite
	successfully. In order to extent this approach for classifying video
	content, a visual analog to words is constructed from signal-level
	visual features. A common bag-of-words approach is applied in order to
	represent video documents. Subsequently, support vector machines are
	trained to categorize the documents into known classes by using the
	proposed visual words. Experimental results indicating the
	classification performance are given and discussed.},
}