1 Ocak 2014 Konferans bildirisi Açık Erişim

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

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{
  "@context": "https://schema.org/", 
  "@id": 99477, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "TUBITAK UZAY, Goruntu Isleme Grubu, Cankaya, Turkey", 
      "name": "Ozkan, Savas"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Orta Dogu Tekn Univ, Bilgisayar Muhendisligi, Ankara, Turkey", 
      "name": "Ates, Tayfun"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Aurvis R&D, Ankara, Turkey", 
      "name": "Tola, Engin"
    }, 
    {
      "@type": "Person", 
      "affiliation": "TUBITAK UZAY, Goruntu Isleme Grubu, Cankaya, Turkey", 
      "name": "Soysal, Medeni"
    }, 
    {
      "@type": "Person", 
      "affiliation": "TUBITAK UZAY, Goruntu Isleme Grubu, Cankaya, Turkey", 
      "name": "Esen, Ersin"
    }
  ], 
  "datePublished": "2014-01-01", 
  "description": "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", 
  "headline": "FEATURE ENCODING MODELS FOR GEOGRAPHIC IMAGE RETRIEVAL AND CATEGORIZATION", 
  "identifier": 99477, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "FEATURE ENCODING MODELS FOR GEOGRAPHIC IMAGE RETRIEVAL AND CATEGORIZATION", 
  "url": "https://aperta.ulakbim.gov.tr/record/99477"
}