inria-00548671, version 1
Applying Color Names to Image Description
Joost Van De Weijer 1, 2Cordelia Schmid
1, 2
IEEE International Conference on Image Processing (ICIP '07) III (2007) 493
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.
- 1: LEAR (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
- CNRS : FR71 – CNRS : UMR5527 – INRIA – Laboratoire Jean Kuntzmann – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
- 2: Laboratoire Jean Kuntzmann (LJK)
- CNRS : UMR5224 – Université Joseph Fourier - Grenoble I – Université Pierre Mendès-France - Grenoble II – Institut Polytechnique de Grenoble - Grenoble Institute of Technology
- Domain : Computer Science/Computer Vision and Pattern Recognition
- Keywords : image classification – image colour analysis – image representation – object detection
- inria-00548671, version 1
- http://hal.inria.fr/inria-00548671
- oai:hal.inria.fr:inria-00548671
- From: Team Lear
- Submitted for:
- Submitted on: Monday, 20 December 2010 10:26:36
- Updated on: Monday, 10 January 2011 17:00:31






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