Image Retrieval Based on Similarity Score Fusion from Feature Similarity Ranking Lists

  title={Image Retrieval Based on Similarity Score Fusion from Feature Similarity Ranking Lists},
  author={Mladen Jovic and Yutaka Hatakeyama and Fangyan Dong and Kaoru Hirota},
An image similarity method based on the fusion of similarity scores of feature similarity ranking lists is proposed. It takes an advantage of combining the similarity value scores of all feature types representing the image content by means of different integration algorithms when computing the image similarity. Three fusion algorithms for the purpose of fusing image feature similarity scores from the feature similarity ranking lists are proposed. Image retrieval experimental results of the… CONTINUE READING
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