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Color Emotions for Image Classification and Retrieval

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Many content-based image retrieval systems are not taking into account high level semantic information. In this paper we describe our attempts to include color-based emotion-related properties of images in the search. We show that using color emotion metrics in content-based image retrieval leads to interesting methods for image retrieval and classification based on semantic concepts. The color emotion metric used is derived from psychophysical experiments and uses three scales: activity, weight and heat. It was originally designed for single-color combinations and later extended to include pairs of colors. We show that a modified approach for statistical analysis of color emotions in images, involving transformations of ordinary RGB-histograms, provides a useful tool for image classification and retrieval. The methods used are both very fast in feature extraction, and descriptor vectors are very short. This is essential in our application where we intend to use it for searching huge image databases containing millions or billions of images.
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Document Type: Research Article

Publication date: January 1, 2008

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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