Dataset Open Access

InVID TV Logo Dataset v2.0

Papadopoulou, Olga; Zampoglou, Markos; Papadopoulos, Symeon; Kompatsiaris, Yiannis


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  <identifier identifierType="DOI">10.5281/zenodo.2557474</identifier>
  <creators>
    <creator>
      <creatorName>Papadopoulou, Olga</creatorName>
      <givenName>Olga</givenName>
      <familyName>Papadopoulou</familyName>
      <affiliation>CERTH-ITI, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Zampoglou, Markos</creatorName>
      <givenName>Markos</givenName>
      <familyName>Zampoglou</familyName>
      <affiliation>CERTH-ITI, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Papadopoulos, Symeon</creatorName>
      <givenName>Symeon</givenName>
      <familyName>Papadopoulos</familyName>
      <affiliation>CERTH-ITI, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Kompatsiaris, Yiannis</creatorName>
      <givenName>Yiannis</givenName>
      <familyName>Kompatsiaris</familyName>
      <affiliation>CERTH-ITI, Thessaloniki, Greece</affiliation>
    </creator>
  </creators>
  <titles>
    <title>InVID TV Logo Dataset v2.0</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>TV logo detection</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-12-21</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2557474</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.730057</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ecfunded</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/invid-h2020</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://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 dataset was created with the purpose of providing a training and evaluation benchmark for TV logo detection in videos. It contains the results from the segmentation and annotation of 2,749 YouTube videos originating from a large number of news TV channels, The videos have been annotated with respect to the TV channel logos they contain -specifically, by the name of the organization to which the logo belongs- and with shot boundary information. Furthermore, a set of logo templates has been extracted from the videos and organized alongside the corresponding channel information.&lt;/p&gt;

&lt;p&gt;As we do not own the rights to the videos, the dataset only contains the YouTube video IDs alongside the corresponding annotations. It further contains 503 logo template files and the corresponding metadata information (channel name, wikipedia link). See the README file for details.&lt;/p&gt;

&lt;p&gt;This is the second version of the dataset, including various corrections in annotation.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/687786/">687786</awardNumber>
      <awardTitle>In Video Veritas – Verification of Social Media Video Content for the News Industry</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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