UTwente does Rich Speech Retrieval at MediaEval 2011

Robin Aly, T. Verschoor, Roeland J.F. Ordelman

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

2 Citations (Scopus)
24 Downloads (Pure)

Abstract

This paper describes the participation of the University of Twente team at the Rich Text Retrieval Task of the Media Eval Benchmark Initiative 2011. The goal of the task is to find entry points of relevant parts of videos to reduce the browsing effort of searchers. This is our first participation, therefore our main focus is to create a baseline system which can be improved in the future. We experiment with different evidence sources (ASR and meta data) together with a basic score combination function. We also experiment with different entry points relative to the segments found by the contained evidence.
Original languageUndefined
Title of host publicationWorking Notes Proceedings of the MediaEval 2011 Workshop
Place of PublicationAachen, Germany
PublisherSun SITE Central Europe
Pages1
Number of pages2
Publication statusPublished - Sep 2011

Publication series

NameCEUR Workshop Proceedings
PublisherSun SITE Central Europe
Volume807
ISSN (Print)1613-0073

Keywords

  • METIS-281622
  • EWI-20946
  • IR-78921

Cite this

Aly, R., Verschoor, T., & Ordelman, R. J. F. (2011). UTwente does Rich Speech Retrieval at MediaEval 2011. In Working Notes Proceedings of the MediaEval 2011 Workshop (pp. 1). (CEUR Workshop Proceedings; Vol. 807). Aachen, Germany: Sun SITE Central Europe.