October 12, 2020 Conference paper Open Access

Zwicklbauer, Miggi; Lamm, Willy; Gordon, Martin; Apostolidis, Konstantinos; Philipp, Basil; Mezaris, Vasileios

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  <dc:creator>Zwicklbauer, Miggi</dc:creator>
  <dc:creator>Lamm, Willy</dc:creator>
  <dc:creator>Gordon, Martin</dc:creator>
  <dc:creator>Apostolidis, Konstantinos</dc:creator>
  <dc:creator>Philipp, Basil</dc:creator>
  <dc:creator>Mezaris, Vasileios</dc:creator>
  <dc:date>2020-10-12</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://zenodo.org/record/4244508</dc:identifier>
  <dc:identifier>10.1145/3422839.3423061</dc:identifier>
  <dc:identifier>oai:zenodo.org:4244508</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/780656/</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/retv-h2020</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Machine learning</dc:subject>
  <dc:subject>Sandmännchen</dc:subject>
  <dc:subject>video analysis</dc:subject>
  <dc:subject>smart speaker</dc:subject>
  <dc:title>Video Analysis for Interactive Story Creation: The Sandmännchen Showcase</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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