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Concept Language Models and Event-based Concept Number Selection for Zero-example Event Detection

Galanopoulos, Damianos; Markatopoulou, Foteini; Mezaris, Vasileios; Patras, Ioannis


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  <dc:creator>Galanopoulos, Damianos</dc:creator>
  <dc:creator>Markatopoulou, Foteini</dc:creator>
  <dc:creator>Mezaris, Vasileios</dc:creator>
  <dc:creator>Patras, Ioannis</dc:creator>
  <dc:date>2017-06-08</dc:date>
  <dc:description>Zero-example event detection is a problem where, given an event query as input but no example videos for training a detector, the system retrieves the most closely related videos. In this paper we present a fully-automatic zero-example event detection method that is based on translating the event description to a predefined set of concepts for which previously trained visual concept detectors are available. We adopt the use of Concept Language Models (CLMs), which is a method of augmenting semantic concept definition, and we propose a new concept-selection method for deciding on the appropriate number of the concepts needed to describe an event query. The proposed system achieves state-of-the-art performance in automatic zero-example event detection.</dc:description>
  <dc:identifier>https://zenodo.org/record/809680</dc:identifier>
  <dc:identifier>10.1145/3078971.3079043</dc:identifier>
  <dc:identifier>oai:zenodo.org:809680</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/693092/</dc:relation>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/687786/</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/invid-h2020</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/moving-h2020</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Zero-example multimedia event detection</dc:subject>
  <dc:subject>Video search</dc:subject>
  <dc:subject>Query representation</dc:subject>
  <dc:title>Concept Language Models and Event-based Concept Number Selection for Zero-example Event Detection</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
</oai_dc:dc>
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