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A System for the Semantic Multimodal Analysis of News Audio-Visual Content

EURASIP Journal on Advances in Signal Processing volume 2010, Article number: 645052 (2010) Cite this article

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.

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Affiliations

  1. Centre for Research and Technology Hellas, Informatics and Telematics Institute, 6th Km Charilaou-Thermi Road, P.O. BOX 60361, 57001, Thermi, Greece

    Vasileios Mezaris, Spyros Gidaros, GeorgiosTh Papadopoulos, Ioannis Kompatsiaris & MichaelG Strintzis

  2. Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54006, Thessaloniki, Greece

    GeorgiosTh Papadopoulos & MichaelG Strintzis

  3. Language Technology Lab, DFKI GmbH, Stuhlsatzenhausweg 3, 66123, Saarbrucken, Germany

    Walter Kasper & Jörg Steffen

  4. Department of Computer Science/Human Media Interaction, University of Twente, 7500 AE, Enschede, The Netherlands

    Roeland Ordelman, Marijn Huijbregts & Franciska de Jong

  5. Centre for Language and Speech Technology, Radboud University Nijmegen, 6525 HT, Nijmegen, The Netherlands

    Marijn Huijbregts

Authors
  1. Vasileios Mezaris
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  2. Spyros Gidaros
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  3. GeorgiosTh Papadopoulos
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  4. Walter Kasper
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  5. Jörg Steffen
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  6. Roeland Ordelman
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  7. Marijn Huijbregts
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  8. Franciska de Jong
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  9. Ioannis Kompatsiaris
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  10. MichaelG Strintzis
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Corresponding author

Correspondence to Vasileios Mezaris.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Mezaris, V., Gidaros, S., Papadopoulos, G. et al. A System for the Semantic Multimodal Analysis of News Audio-Visual Content. EURASIP J. Adv. Signal Process. 2010, 645052 (2010). https://doi.org/10.1155/2010/645052

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Keywords

  • Automatic Generation
  • Individual Modality
  • Multimedia Content
  • Fusion Technique
  • Semantic Annotation
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