Experiment with reduced feature vector in CBIR system with relevance feedback

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Experiment with reduced feature vector in CBIR system with relevance feedback

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5th International Conference on Visual Information Engineering (VIE 2008) — Recommend this title to your library

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  • DOI:  10.1049/cp:20080304
  • ISBN: 978 0 86341 914 0
  • Location: Xi'an, China
  • Conference date: 29 July-1 Aug. 2008
  • Format: PDF
A CBIR system with relevance feedback is described. System uses feature vectors (FVs) with only 24 components describing color, line directions and texture. The reduction of FV dimension is based on the statistics of global image features. The proposed system was tested over Corel IK dataset and results are compared to some other CBIR systems with or without FV reduction.

Inspec keywords: statistical analysis; image colour analysis; image texture; vectors; content-based retrieval; relevance feedback; image retrieval

Subjects: Computer vision and image processing techniques; Other topics in statistics; Algebra; Information retrieval techniques

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