DocumentCode
2037186
Title
Applying Color Names to Image Description
Author
van de Weijer, Joost ; Schmid, Cordelia
Author_Institution
LEAR TEAM, Montbonnet
Volume
3
fYear
2007
fDate
Sept. 16 2007-Oct. 19 2007
Abstract
Photometric invariance is a desired property for color image descriptors. It ensures that the description has a certain robustness with respect to scene incidental variations such as changes in viewpoint, object orientation, and illuminant color. A drawback of photometric invariance is that the discriminative power of the description reduces while increasing the photometric invariance. In this paper, we look into the use of color names for the purpose of image description. Color names are linguistic labels that humans attach to colors. They display a certain amount of photometric invariance, and as an additional advantage allow the description of the achromatic colors, which are undistinguishable in a photometric invariant representation. Experiments on an image classification task show that color description based on color names outperforms description based on photometric invariants.
Keywords
image classification; image colour analysis; image representation; object detection; color image descriptors; color names; illuminant color; image classification; linguistic labels; object orientation; photometric invariance; photometric invariant representation; viewpoint change; Displays; Humans; Image classification; Image color analysis; Image representation; Layout; Natural languages; Photometry; Robustness; Shape; image classification; image color analysis; image representations; object recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1522-4880
Print_ISBN
978-1-4244-1437-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2007.4379354
Filename
4379354
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