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Selecting User Generated Content for Use in Media Productions

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Book cover MultiMedia Modeling (MMM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9517))

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Abstract

This paper describes a video browsing tool for visual media production, enabling users to efficiently find relevant user generated content, while considering its relation to the professional content captured for the production. Users can iteratively cluster the content set by different features, and restrict the content set by selecting a subset of clusters, and perform similarity search. The tool supports metadata captured with the content (e.g., location, device) and provides support for extracting global and local visual features. Content with multiple views is supported.

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Notes

  1. 1.

    http://www.vlfeat.org.

  2. 2.

    http://www.tosca-mp.eu.

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Acknowledgments

The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreements n\(^\circ \) 215475, “2020 3D Media – Spatial Sound and Vision” (http://www.20203dmedia.eu/), and n\(^\circ \) 287532, “TOSCA-MP - Task-oriented search and content annotation for media production” (http://www.tosca-mp.eu) and n\(^\circ \) 610370, ICoSOLE (“Immersive Coverage of Spatially Outspread Live Events”, http://www.icosole.eu).

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Correspondence to Werner Bailer .

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Bailer, W., Weiss, W., Wechtitsch, S. (2016). Selecting User Generated Content for Use in Media Productions. In: Tian, Q., Sebe, N., Qi, GJ., Huet, B., Hong, R., Liu, X. (eds) MultiMedia Modeling. MMM 2016. Lecture Notes in Computer Science(), vol 9517. Springer, Cham. https://doi.org/10.1007/978-3-319-27674-8_38

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  • DOI: https://doi.org/10.1007/978-3-319-27674-8_38

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