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.
Keywords
- Visual Similarity
- Video Segment
- User Generate Content
- Object Trajectory
- Browse User Interface
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
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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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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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