1 Ocak 2014 Konferans bildirisi Açık Erişim

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

Citation Style Language JSON

{
  "URL": "https://aperta.ulakbim.gov.tr/record/99477", 
  "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", 
  "author": [
    {
      "family": "Ozkan", 
      "given": " Savas"
    }, 
    {
      "family": "Ates", 
      "given": " Tayfun"
    }, 
    {
      "family": "Tola", 
      "given": " Engin"
    }, 
    {
      "family": "Soysal", 
      "given": " Medeni"
    }, 
    {
      "family": "Esen", 
      "given": " Ersin"
    }
  ], 
  "id": "99477", 
  "issued": {
    "date-parts": [
      [
        2014, 
        1, 
        1
      ]
    ]
  }, 
  "title": "FEATURE ENCODING MODELS FOR GEOGRAPHIC IMAGE RETRIEVAL AND CATEGORIZATION", 
  "type": "paper-conference"
}