1 Ocak 2014 Konferans bildirisi Açık Erişim

Ozkan, Savas; Ates, Tayfun; Tola, Engin; Soysal, Medeni; Esen, Ersin

DataCite XML

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/99477</identifier>
  <creators>
    <creator>
      <creatorName>Ozkan, Savas</creatorName>
      <givenName>Savas</givenName>
      <familyName>Ozkan</familyName>
      <affiliation>TUBITAK UZAY, Goruntu Isleme Grubu, Cankaya, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Ates, Tayfun</creatorName>
      <givenName>Tayfun</givenName>
      <familyName>Ates</familyName>
      <affiliation>Orta Dogu Tekn Univ, Bilgisayar Muhendisligi, Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Tola, Engin</creatorName>
      <givenName>Engin</givenName>
      <familyName>Tola</familyName>
      <affiliation>Aurvis R&amp;D, Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Soysal, Medeni</creatorName>
      <givenName>Medeni</givenName>
      <familyName>Soysal</familyName>
      <affiliation>TUBITAK UZAY, Goruntu Isleme Grubu, Cankaya, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Esen, Ersin</creatorName>
      <givenName>Ersin</givenName>
      <familyName>Esen</familyName>
      <affiliation>TUBITAK UZAY, Goruntu Isleme Grubu, Cankaya, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Feature Encoding Models For Geographic Image Retrieval And Categorization</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2014</publicationYear>
  <dates>
    <date dateType="Issued">2014-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/99477</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.99476</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.99477</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">In this work, we survey the perormance of various feature encoding models for geographic image retrieval task Recently introduced Vector-of-Locally-Aggregated Descriptors (VLAD) and its Product Quantization encoded binary version VLAD-PQ are compared with the widely used Bag-of-Word (BoW) model. Evaluation results are shown on a publicly available 21-class LULC dataset. With experiments, it is shown that VLAD outperforms classical BoW representation albeit with some increases in the computation time. Additionally, VLAD-PQ results in similar retrieval performance with VLAD but requiring no more computational or memory resources are observed</description>
  </descriptions>
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