International Conference on Semantic Computing (ICSC 2007) A Hybrid Approach to Improving Semantic Extraction of News Video Irvine, California September 17-September 19 ISBN: 0-7695-2997-6
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSC.2007.68
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple feature sets and multilingual linguistic resources, applying text retrieval approaches for image features, and establishing synergy between multiple concepts through undirected graphical models. No single approach provides a consistently better result for every concept detection, which suggests that extracting video semantics should exploit multiple resources and techniques rather than a single approach.
Citation:
A.G. Hauptmann, M.-Y. Chen, M. Christel, W.-H. Lin, J. Yang, "A Hybrid Approach to Improving Semantic Extraction of News Video," icsc, pp.79-86, International Conference on Semantic Computing (ICSC 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||