Exploring microblog activity for the prediction of hyperlink anchors in television broadcasts

Conference paper (2015)
Department
Intelligent Systems (EEMCS) (TU Delft)
Copyright: © The Author(s)
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Published Date

15-09-2015

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Source:

Ceur Workshop Proceedings, no 1436, 2015. MediaEval 2015 Workshop, Wurzen, germany, 15-15 September, 2015

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Abstract

In this paper, we present a social media based approach to finding anchors in video archives. We use social activity on Twitter to find topics on which people have questions about in order to select suitable anchors. The experiments were carried out on the MediaEval Search and Anchoring in Video Archives Task (SAVA) data set, consisting of 68 hours of BBC video content broadcasted in 2008. The performance of our relatively simple, but straightforward method seems sufficiently promising to pursue further research.

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