@INPROCEEDINGS{1124Nemrava2007,
	AUTHOR = {J. Nemrava and P. Buitelaar and T. Declerck and V. Svátek and J. Petrák and A. Cobet and H. Zeiner and D. Sadlier and N. O’Connor},
	TITLE = {Enhancing Video Analysis Results using Complementary Textual Resources},
	BOOKTITLE = {Proceedings of the 2nd International Conference on Semantics And digital Media Technologies (SAMT'07)},
	YEAR = {2007},
	MONTH = dec,
	ABSTRACT = {In this document we deal with different sources of information complementary to audio-visual streams and propose their usage for enriching this data with semantic concepts in order to bridge the gap between low-level video analysis and high-level analysis. Our aim is to extract cross-media feature descriptors from semantically enriched and aligned resources so as to detect finer-grained events in video. We introduce an
architecture for complementary resources analysis and discuss domain dependency aspects of this approach connected to our initial domain of football broadcasts.}
}