Applying Texture and Color Features to Natural Image Retrieval

نویسندگان

  • Mari Partio
  • Esin Guldogan
  • Olcay Guldogan
  • Moncef Gabbouj
چکیده

This paper evaluates the performance of texture and color features applied to natural image retrieval. Natural images usually contain both texture and color, and therefore those features should also be considered together in a retrieval process. Combination of texture and color features is important, since it may result in closer connection to semantic. The idea in this study is to empirically evaluate the effect of texture and color features to the query. Retrieval capability of those features is first evaluated separately and finally the combined effect is studied. Finally, the goal is to find out what kind of features, or combination of features, yield the most successful results for certain types of query images.

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تاریخ انتشار 2003