Using an information retrieval system for video classification

Authors:
José Manuel Perea-Ortega;Arturo Montejo-Ráez;Manuel Carlos Díaz-Galiano;María Teresa Martín-Valdivia;L. Alfonso Ureña-López
Affiliations:
SINAI Research Group, Computer Science Department, University of Jaén, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain;SINAI Research Group, Computer Science Department, University of Jaén, Spain
Venue:
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Year:
2008

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Abstract

This paper describes a simple approach to resolve the video classification task. This approach consists in applying an Information Retrieval (IR) system as classifier. We have generated a document collection for each topic class predefined. This collection has been composed of documents retrieved using the Google search engine. Following the IR strategy, we have used the speech transcriptions of the videos as textual queries. The results obtained show that an IR system can perform well as video classifier if the speech transcriptions of the videos to classify have good quality.