Dataset Open Access

InVID Fake Video Corpus v2.0

Olga Papadopoulou; Markos Zampoglou; Symeon Papadopoulos; Yiannis Kompatsiaris; Denis Teyssou


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.1147958</identifier>
  <creators>
    <creator>
      <creatorName>Olga Papadopoulou</creatorName>
      <affiliation>CERTH-ITI, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Markos Zampoglou</creatorName>
      <affiliation>CERTH-ITI, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Symeon Papadopoulos</creatorName>
      <affiliation>CERTH-ITI, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Yiannis Kompatsiaris</creatorName>
      <affiliation>CERTH-ITI, Thessaloniki, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Denis Teyssou</creatorName>
      <affiliation>AFP, Paris, France</affiliation>
    </creator>
  </creators>
  <titles>
    <title>InVID Fake Video Corpus v2.0</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Fake video corpus</subject>
    <subject>Fake videos</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-01-15</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1147958</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1147957</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/invid-h2020</relatedIdentifier>
  </relatedIdentifiers>
  <version>2.0</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 was developed in the context of the InVID project&amp;nbsp;with the aim of gaining a perspective of the types of fake video that can be&amp;nbsp;encountered in the real world. The dataset does not aspire to serve as an&amp;nbsp;exhaustive list of all forgeries that have circulated the Web in the past, but we intend to maintain and extend it throughout the course of the project as new cases&amp;nbsp;arise.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The collection is a collaborative effort between AFP and CERTH-ITI. This is the&amp;nbsp;second version of the dataset, containing 117 fake videos and 110 real videos,&amp;nbsp;alongside annotations and descriptions. As we do not own the rights to the videos,&amp;nbsp;the dataset only contains the video URLs and annotations.&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Version v1.0 DOI: 10.5281/zenodo.242481"]}</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>
275
39
views
downloads
All versions This version
Views 275275
Downloads 3939
Data volume 833.0 kB833.0 kB
Unique views 246246
Unique downloads 3939

Share

Cite as