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Presentation
The roles of diagnostic colors to natural scene recognition.
Tetsunoshin Fujii, Yasuhiro Kawabata (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) We examine how colors contribute to scene recognition in terms of semantic factors. Whether color cues are effective for diagnostic color scenes, or not? In Experimemt1, we execute a pair-comparison task that used blurred study images in order to detect chromatic contrasts effectively. In diagnostic color scenes the recognition rate increased when the images were presented in color mode. Diagnostic color scenes were classified as natural or man-made objects in Experiment1. In Experiment2, their scenes were reclassified as the number of possible colorations that can be imaged for each scene. We try to clarify the features of the diagnostic color scenes.
Keyword (in Japanese) (See Japanese page) 
(in English) Natural scene recognition / Diagnostic color / Cut-off spatial frequencies / pair-comparison task / / / /  
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Conference Information
Committee HIP  
Conference Date 2007-06-28 - 2007-06-29 
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Paper Information
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Conference Code 2007-06-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The roles of diagnostic colors to natural scene recognition. 
Sub Title (in English)  
Keyword(1) Natural scene recognition  
Keyword(2) Diagnostic color  
Keyword(3) Cut-off spatial frequencies  
Keyword(4) pair-comparison task  
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1st Author's Name Tetsunoshin Fujii  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Yasuhiro Kawabata  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
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