Conference paper Open Access

VISIONE at Video Browser Showdown 2021

Giuseppe Amato; Paolo Bolettieri; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo


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  <identifier identifierType="URL">https://zenodo.org/record/5078245</identifier>
  <creators>
    <creator>
      <creatorName>Giuseppe Amato</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0171-4315</nameIdentifier>
      <affiliation>ISTI-CNR</affiliation>
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    <creator>
      <creatorName>Paolo Bolettieri</creatorName>
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      <affiliation>ISTI-CNR</affiliation>
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    <creator>
      <creatorName>Fabrizio Falchi</creatorName>
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      <affiliation>ISTI-CNR</affiliation>
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    <creator>
      <creatorName>Claudio Gennaro</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3715-149X</nameIdentifier>
      <affiliation>ISTI-CNR</affiliation>
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    <creator>
      <creatorName>Nicola Messina</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3011-2487</nameIdentifier>
      <affiliation>ISTI-CNR</affiliation>
    </creator>
    <creator>
      <creatorName>Lucia Vadicamo</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7182-7038</nameIdentifier>
      <affiliation>ISTI-CNR</affiliation>
    </creator>
    <creator>
      <creatorName>Claudio Vairo</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2740-4331</nameIdentifier>
      <affiliation>ISTI-CNR</affiliation>
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  <titles>
    <title>VISIONE at Video Browser Showdown 2021</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>Content-Based Video Retrieval</subject>
    <subject>Video Search</subject>
    <subject>Information Search and Retrieval</subject>
    <subject>Surrogate Text Representation</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-07-07</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1007/978-3-030-67835-7_479</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ai4eu</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ai4media</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 the second release of VISIONE, a tool for effective video search on large-scale collections. It allows users to search for videos using textual descriptions, keywords, occurrence of objects and their spatial relationships, occurrence of colors and their spatial re- lationships, and image similarity. One of the main features of our system is that it employs specially designed textual encodings for indexing and searching video content using the mature and scalable Apache Lucene full-text search engine.&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/Horizon 2020 Framework Programme - Research and Innovation action/951911/">951911</awardNumber>
      <awardTitle>A European Excellence Centre for Media, Society and Democracy</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/825619/">825619</awardNumber>
      <awardTitle>A European AI On Demand Platform and Ecosystem</awardTitle>
    </fundingReference>
  </fundingReferences>
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