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Perception based image retrieval
Author(s) -
Dirk Neumann,
Karl R. Gegenfurtner
Publication year - 2002
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/2.10.129
Subject(s) - artificial intelligence , luminance , computer vision , color histogram , pattern recognition (psychology) , chromaticity , color space , similarity (geometry) , computer science , histogram , spatial frequency , mathematics , orientation (vector space) , image retrieval , standard illuminant , color image , image processing , image (mathematics) , optics , physics , geometry
We created,an image,indexing system,based,on some,of the known properties of the early stages,of human vision. We used,a color space known,to underlie,the second,stage,of human color vision and,stored chromaticity and luminance information in two,logarithmic-radial histograms. A third, spatial index encodes ñ in analogy to the spatial frequency,representation,in the visual cortex ñ information,about,orientation and spatial scale. The indices were,evaluated,by comparing,the computed,similarity values with human,judgments,quantitatively and objectively in a 2AFC design. For the experiments we used a heterogeneous database of 60,000 digitized photographs. 2

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