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Beyond Eleven Color Names for Image Understanding
Northwestern Polytech Univ, Peoples R China; Univ Autonoma Barcelona, Spain.
Univ Autonoma Barcelona, Spain.
Univ Autonoma Barcelona, Spain.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering.
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2018 (English)In: Machine Vision and Applications, ISSN 0932-8092, E-ISSN 1432-1769, Vol. 29, no 2, p. 361-373Article in journal (Refereed) Published
Abstract [en]

Color description is one of the fundamental problems of image understanding. One of the popular ways to represent colors is by means of color names. Most existing work on color names focuses on only the eleven basic color terms of the English language. This could be limiting the discriminative power of these representations, and representations based on more color names are expected to perform better. However, there exists no clear strategy to choose additional color names. We collect a dataset of 28 additional color names. To ensure that the resulting color representation has high discriminative power we propose a method to order the additional color names according to their complementary nature with the basic color names. This allows us to compute color name representations with high discriminative power of arbitrary length. In the experiments we show that these new color name descriptors outperform the existing color name descriptor on the task of visual tracking, person re-identification and image classification.

Place, publisher, year, edition, pages
SPRINGER , 2018. Vol. 29, no 2, p. 361-373
Keyword [en]
Color name; Discriminative descriptors; Image classification; Re-identification; Tracking
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-145241DOI: 10.1007/s00138-017-0902-yISI: 000424057400012OAI: oai:DiVA.org:liu-145241DiVA, id: diva2:1188346
Note

Funding Agencies|Chinese Scholarship Council (CSC) [201506290126]; Spanish Ministry [TIN2013-41751-P, TIN2016-79717-R]; CERCA Programme / Generalitat de Catalunya

Available from: 2018-03-07 Created: 2018-03-07 Last updated: 2018-03-07

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf