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Overview of MediaEval 2011 rich speech retrieval task and genre tagging task

Larson, Martha, Eskevich, Maria, Ordelman, Roeland, Kofler, Christoph, Schmiedeke, Sebastian and Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365 (2011) Overview of MediaEval 2011 rich speech retrieval task and genre tagging task. In: MediaEval 2011, 1-2 Sept 2011, Pisa, Italy.

Abstract
The MediaEval 2011 Rich Speech Retrieval Tasks and Genre Tagging Tasks are two new tasks oered in MediaEval 2011 that are designed to explore the development of techniques for semi-professional user generated content (SPUG). They both use the same data set: the MediaEval 2010 Wild Wild Web Tagging Task (ME10WWW). The ME10WWW data set contains Creative Commons licensed video collected from blip.tv in 2009. It was created by the PetaMedia Network of Excellence (http://www.petamedia.eu) in order to test retrieval algorithms for video content as it occurs `in the wild' on the Internet and, in particular, for user contributed multimedia that is embedded within a social network. In this overview paper, we repeat the essential characteristics of the data set, describe the tasks and specify how they are evaluated.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:No
Uncontrolled Keywords:Measurement; Performance; content analysis
Subjects:Computer Science > Multimedia systems
Computer Science > Information retrieval
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
Research Institutes and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Working Notes Proceedings of the MediaEval 2011 Workshop. 807 . CEUR Workshop Proceedings.
Publisher:CEUR Workshop Proceedings
Official URL:http://ceur-ws.org/Vol-807/
Copyright Information:Copyright is held by the author/owner
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, European Framework Programme 7
ID Code:16891
Deposited On:16 Apr 2012 10:34 by Gareth Jones . Last Modified 25 Oct 2018 10:18
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