CBIR with Perceptual Region Features | Zendy

Majid Mirmehdi | Zendy; R. Periasamy | Zendy

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CBIR with Perceptual Region Features

Author(s) -

Majid Mirmehdi,

R. Periasamy

Publication year - 2001

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.15.53

Subject(s) - artificial intelligence , computer science , salient , search engine indexing , image retrieval , smoothing , computer vision , pattern recognition (psychology) , ranking (information retrieval) , perception , representation (politics) , feature extraction , feature (linguistics) , image (mathematics) , linguistics , philosophy , neuroscience , politics , political science , law , biology

A perceptual approach to generating features for use in indexing and retrieving images is described. Salient regions that immediately attract the eye are colour (textured) regions that usually dominate an image. Features derived from these will allow search for images that are similar perceptually. We compute colour features and Gabor colour texture features on regions identified from a coarse representation of the image, generated by a multiband smoothing algorithm based on human psychophysical measurements of colour appearance. Images are retrieved, using a multi-feedback retrieval and ranking mechanism. We examine the performance of the features and the feedback mechanism.

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