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.
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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
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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
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