A system for the semantic multimodal analysis of news audio-visual content

Mezaris, Vasileios and Gidaros, Spyros and Papadopoulos, Georgios Th. and Kasper, Walter and Steffen, Jörg and Ordelman, Roeland and Huijbregts, Marijn and Jong de, Franciska and Kompatsiaris, Ioannis and Strintzis, Michael G. (2010) A system for the semantic multimodal analysis of news audio-visual content. EURASIP Journal on Advances in Signal Processing, 2010 (47). ISSN 1687-6172

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Abstract:	News-related content is nowadays among the most popular types of content for users in everyday applications. Although the generation and distribution of news content has become commonplace, due to the availability of inexpensive media capturing devices and the development of media sharing services targeting both professional and user-generated news content, the automatic analysis and annotation that is required for supporting intelligent search and delivery of this content remains an open issue. In this paper, a complete architecture for knowledge-assisted multimodal analysis of news-related multimedia content is presented, along with its constituent components. The proposed analysis architecture employs state-of-the-art methods for the analysis of each individual modality (visual, audio, text) separately and proposes a novel fusion technique based on the particular characteristics of news-related content for the combination of the individual modality analysis results. Experimental results on news broadcast video illustrate the usefulness of the proposed techniques in the automatic generation of semantic annotations.
Item Type:	Article
Copyright:	© 2010 Hindawi Publishing Corporation
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/76505
Official URL:	http://dx.doi.org/10.1155/2010/645052
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