Video color conceptualization using optimization

Xiao Chun Cao, Yu Jie Zhang, Xiao Jie Guo, Yiu Ming CHEUNG

Research output: Contribution to journalJournal articlepeer-review

2 Citations (Scopus)


Color conceptualization aims to propagate "color concepts" from a library of natural color images to the input image by changing the main color. However, the existing method may lead to spatial discontinuities in images because of the absence of a spatial consistency constraint. In this paper, to solve this problem, we present a novel method to force neighboring pixels with similar intensities to have similar color. Using this constraint, the color conceptualization is formalized as an optimization problem with a quadratic cost function. Moreover, we further expand two-dimensional (still image) color conceptualization to three-dimensional (video), and use the information of neighboring pixels in both space and time to improve the consistency between neighboring frames. The performance of our proposed method is demonstrated for a variety of images and video sequences.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalScience China Information Sciences
Issue number7
Publication statusPublished - Jun 2014

Scopus Subject Areas

  • Computer Science(all)

User-Defined Keywords

  • color conceptualization
  • color correspondence
  • color discontinuity
  • optimization
  • video sequence


Dive into the research topics of 'Video color conceptualization using optimization'. Together they form a unique fingerprint.

Cite this