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[CSN+05]  Example-Based Color Transformation for Image and Video

Chang:2005:EBC2 (In proceedings)
Author(s)Chang Y., Saito S. and Nakajima M.
Title« Example-Based Color Transformation for Image and Video »
InProceedings of the 3[textsuperscript]rd International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia (GRAPHITE'05, Dunedin, New Zealand)
Page(s)347--353
Year2005
PublisherACM Press
AddressNew York

Abstract
Color is very important in setting the mood of images and video sequences. For this reason, color transformation is one of the most important features in photo-editing or video post-production tools because even slight modifications of colors in an image can strongly increase its visual appeal. However, conventional color editing tools require user's manual operation for detailed color manipulation. Such manual operation becomes burden especially when editing video frame sequences. To avoid this problem, we previously suggested a method [Chang et al. 2004] that performs an examplebased color stylization of images using perceptual color categories. In this paper, we extend this method to make the algorithm more robust and to stylize the colors of video frame sequences. The main extension is the following 5 points: applicable to images taken under a variety of light conditions; speeding up the color naming step; improving the mapping between source and reference colors when there is a disparity in size of the chromatic categories; separate handling of achromatic categories from chromatic categories; and extending the algorithm along the temporal axis to allow video processing. We present a variety of results, arguing that these images and videos convey a different, but coherent mood.

BibTeX code
@inproceedings{Chang:2005:EBC2,
  opteditor = {},
  optpostscript = {},
  optorganization = {},
  author = {Youngha Chang and Suguru Saito and Masayuki Nakajima},
  optkey = {},
  optannote = {},
  optseries = {},
  address = {New York},
  localfile = {papers/Chang.2005.EBC2.pdf},
  optisbn = {},
  publisher = {ACM Press},
  optkeywords = {},
  doi = {http://doi.acm.org/10.1145/1101389.1101459},
  optmonth = {},
  optciteseer = {},
  opturl = {},
  optcrossref = {},
  optwww = {},
  booktitle = {Proceedings of the 3\textsuperscript{rd} International Conference
               on Computer Graphics and Interactive Techniques in Australasia
               and South East Asia (GRAPHITE'05, Dunedin, New Zealand)},
  optvolume = {},
  optnumber = {},
  abstract = {Color is very important in setting the mood of images and video
              sequences. For this reason, color transformation is one of the
              most important features in photo-editing or video post-production
              tools because even slight modifications of colors in an image can
              strongly increase its visual appeal. However, conventional color
              editing tools require user's manual operation for detailed color
              manipulation. Such manual operation becomes burden especially when
              editing video frame sequences. To avoid this problem, we
              previously suggested a method [Chang et al. 2004] that performs an
              examplebased color stylization of images using perceptual color
              categories. In this paper, we extend this method to make the
              algorithm more robust and to stylize the colors of video frame
              sequences. The main extension is the following 5 points:
              applicable to images taken under a variety of light conditions;
              speeding up the color naming step; improving the mapping between
              source and reference colors when there is a disparity in size of
              the chromatic categories; separate handling of achromatic
              categories from chromatic categories; and extending the algorithm
              along the temporal axis to allow video processing. We present a
              variety of results, arguing that these images and videos convey a
              different, but coherent mood.},
  title = {{E}xample-{B}ased {C}olor {T}ransformation for {I}mage and {V}ideo},
  year = {2005},
  pages = {347--353},
}

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