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

Title

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

 Author

Vliegendhart, R.
Liem, C.C.S.
Larson, M.A.

Faculty

Electrical Engineering, Mathematics and Computer Science

 Department

Intelligent Systems

 Date

2015-09-15

 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.

 To reference this document use:

http://resolver.tudelft.nl/uuid:e484363a-59f5-4f44-8463-6b3e131c888b

 Publisher

Ceur-WS

 ISSN

1613-0073

 Source

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

 Part of collection

Institutional Repository

 Document type

conference paper

 Rights

(c) The Author(s)
Files
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