October 12, 2020 Conference paper Open Access

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

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  <identifier identifierType="URL">https://zenodo.org/record/4244508</identifier>
  <creators>
    <creator>
      <creatorName>Zwicklbauer, Miggi</creatorName>
      <givenName>Miggi</givenName>
      <familyName>Zwicklbauer</familyName>
      <affiliation>Rundfunk Berlin-Brandenburg</affiliation>
    </creator>
    <creator>
      <creatorName>Lamm, Willy</creatorName>
      <givenName>Willy</givenName>
      <familyName>Lamm</familyName>
      <affiliation>Rundfunk Berlin-Brandenburg</affiliation>
    </creator>
    <creator>
      <creatorName>Gordon, Martin</creatorName>
      <givenName>Martin</givenName>
      <familyName>Gordon</familyName>
      <affiliation>Rundfunk Berlin-Brandenburg</affiliation>
    </creator>
    <creator>
      <creatorName>Apostolidis, Konstantinos</creatorName>
      <givenName>Konstantinos</givenName>
      <familyName>Apostolidis</familyName>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
    <creator>
      <creatorName>Philipp, Basil</creatorName>
      <givenName>Basil</givenName>
      <familyName>Philipp</familyName>
      <affiliation>Genistat</affiliation>
    </creator>
    <creator>
      <creatorName>Mezaris, Vasileios</creatorName>
      <givenName>Vasileios</givenName>
      <familyName>Mezaris</familyName>
      <affiliation>CERTH-ITI</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Video Analysis for Interactive Story Creation: The Sandmännchen Showcase</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Machine learning</subject>
    <subject>Sandmännchen</subject>
    <subject>video analysis</subject>
    <subject>smart speaker</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-10-12</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4244508</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1145/3422839.3423061</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/retv-h2020</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This paper presents a method to interactively create a new Sandm&amp;auml;nnchen story. We built an application which is deployed on a smart speaker, interacts with a user, selects appropriate segments from a database of Sandm&amp;auml;nnchen 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.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/780656/">780656</awardNumber>
      <awardTitle>Enhancing and Re-Purposing TV Content for Trans-Vector Engagement</awardTitle>
    </fundingReference>
  </fundingReferences>
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