Abstract
This paper describes the participation of MIRACLE research consortium at the VideoCLEF track at CLEF 2008. We took part in both the main mandatory Classification task (classify videos of television episodes using speech transcripts and metadata) and the Keyframe Extraction task (select keyframes that represent individual episodes from a set of supplied keyframes). Our system for the first task is composed of two main blocks: the core system knowledge base and the set of operational elements that are needed to classify the speech transcripts of the topic episodes and generate the output in RSS format. For the second task, our approach is based on the assumption that the most representative fragment (shot) of each episode is the one with the lowest distance to the whole episode, considering a vector space model. In the classification task, our runs ranked 3rd (out of 6 participants) in terms of precision.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Villena-Román, J., Lana-Serrano, S.: MIRACLE at VideoCLEF 2008: Classification of Multilingual Speech Transcripts. In: Working Notes of the 2008 CLEF Workshop, Aarhus, Denmark (2008)
Larson, M., Newman, E., Jones, G.J.F.: Overview of VideoCLEF 2008: Automatic Generation of Topic-based Feeds for Dual Language Audio-Visual Content. In: Peters, C., et al. (eds.) CLEF 2008. LNCS, vol. 5706, pp. 906–917. Springer, Heidelberg (2009)
University of Neuchatel. Page of resources for CLEF, http://www.unine.ch/info/clef (Visited 09/11/2008)
Porter, M.: Snowball stemmers and resources page, http://www.snowball.tartarus.org (Visited 09/11/2008)
Apache Lucene project, http://lucene.apache.org (Visited 09/11/2008)
Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)
Baeza-Yates, R., Ribeiro-Prieto, B.: Modern Information Retrieval. Addison Wesley, Reading (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Villena-Román, J., Lana-Serrano, S. (2009). MIRACLE at VideoCLEF 2008: Topic Identification and Keyframe Extraction in Dual Language Videos. In: Peters, C., et al. Evaluating Systems for Multilingual and Multimodal Information Access. CLEF 2008. Lecture Notes in Computer Science, vol 5706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04447-2_120
Download citation
DOI: https://doi.org/10.1007/978-3-642-04447-2_120
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04446-5
Online ISBN: 978-3-642-04447-2
eBook Packages: Computer ScienceComputer Science (R0)