Dataset Open Access

InVID Fake Video Corpus v1.0

Papadopoulos, Symeon; Zampoglou, Markos; Kompatsiaris, Ioannis; Teyssou, Denis


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  <identifier identifierType="DOI">10.5281/zenodo.242481</identifier>
  <creators>
    <creator>
      <creatorName>Papadopoulos, Symeon</creatorName>
      <givenName>Symeon</givenName>
      <familyName>Papadopoulos</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>Kompatsiaris, Ioannis</creatorName>
      <givenName>Ioannis</givenName>
      <familyName>Kompatsiaris</familyName>
      <affiliation>CERTH-ITI, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Teyssou, Denis</creatorName>
      <givenName>Denis</givenName>
      <familyName>Teyssou</familyName>
      <affiliation>AFP, Paris, France</affiliation>
    </creator>
  </creators>
  <titles>
    <title>InVID Fake Video Corpus v1.0</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>Fake video corpus</subject>
    <subject>Video forgeries</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-01-13</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/242481</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.729859</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>
  <version>1.0</version>
  <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;The InVID TV Fake Video Corpus is a small collection of verified fake videos. It was developed in the context of the InVID project with the aim of gaining a perspective of the types of fake video that can be encountered in the real world.&lt;/p&gt;

&lt;p&gt;Currently the Corpus consists of 59 videos. For each video, information is provided describing the fake, its original source, and the evidence proving it is a fake. As we do not own the videos, the dataset only provides the video URLs and metadata, in the form of a tab-separated value (TSV) file. See the README file for more information.&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Version 2.0 DOI: 10.5281/zenodo.1147958"]}</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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