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Semi – automated tool for characterizing news video files, using metadata schemas

  • Stefanos Asonitis
  • Dimitris Boundas
  • Georgios Bokos
  • Marios Poulos

The size increment of online TV's video repositories, rises the necessity of an effective automated video content-based retrieval service. Our project will give a partial answer to that problem by developing a semi-automated tool for characterizing broadcast news video files. Our tool will be constituted of two sections. In the first section, the repositories' video files will be separated from their audio content. Then the audio content will be characterized by a classification system in two predefined categories,: news and sports. In the second section the audio files will be described using proper description languages such as NewsML and SportsML, thus characterizing the initial video file they came from. The effectiveness of our semi-automated tool will be tested in a local repository of news video files, created by a customizable, focuses on video files, data mining web crawler.

Keywords

Audio Signal Video File Sport Event News Event Sport Video 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Dept. Of Archives and Library SciencesIonian UniversityPalea AnaktoraGreece

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