Conference paper Open Access
Video Analysis for Interactive Story Creation: The Sandmännchen Showcase
Zwicklbauer, Miggi; Lamm, Willy; Gordon, Martin; Apostolidis, Konstantinos; Philipp, Basil; Mezaris, Vasileios
This paper presents a method to interactively create a new Sandmännchen story. We built an application which is deployed on a smart speaker, interacts with a user, selects appropriate segments from a database of Sandmännchen episodes and combines them to generate a new story that is compatible with the user requests. The underlying video analysis technologies are presented and evaluated. We additionally showcase example results from using the complete application, as a proof of concept.
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acmmm2020_ai4tv_preprint.pdf
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Indexed in
- Publication date:
- October 12, 2020
- DOI:
-
- Keyword(s):
- Machine learning Sandmännchen video analysis smart speaker
- Grants:
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European Commission:
- ReTV - Enhancing and Re-Purposing TV Content for Trans-Vector Engagement (780656)
- Meeting:
- AI4TV workshop at ACM Multimedia 2020 (AI4TV @ ACM MM 2020), Oct. 2020.
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International