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[HJN+03]  Creating Various Styles of Animations Using Example-Based Filtering

Hashimoto:2003:CVS (In proceedings)
Author(s)Hashimoto R., Johan H. and Nishita. T.
Title« Creating Various Styles of Animations Using Example-Based Filtering »
InProceedings of Computer Graphics International 2003 (CGI 2003, July 09--11, 2003, Tokyo, Japan)
Page(s)312--317
Year2003
PublisherIEEE Computer Society
AddressLos Alamitos, CA

Abstract
A number of Non-Photorealistic Rendering methods for producing artistic style images have been developed. Recently, a method called "Image Analogies" was proposed. This method is based on the idea of example-based filtering that uses a pair of images (an original image and a filtered image) as training data and creates an image which has a style that resembles the filtered image of the training data. This method has great flexibility since the users can create various styles of images by simply changing the training data. In this paper, we extend ``Image Analogies'' to create various styles of animations. The coherence between frames is considered by computing the pixel flows between the frames. From experimental results, the proposed method can create nice animation sequences.

BibTeX code
@inproceedings{Hashimoto:2003:CVS,
  opteditor = {},
  optorganization = {},
  author = {Ryota Hashimoto and Henry Johan and Tomoyuki Nishita.},
  optkey = {},
  optseries = {},
  localfile = {papers/Hashimoto.2003.CVS.pdf},
  address = IEEEAdr,
  publisher = IEEEPub,
  optmonth = {},
  doi = {http://dx.doi.org/10.1109/CGI.2003.1214488},
  opturl = {},
  optcrossref = {},
  booktitle = {Proceedings of Computer Graphics International 2003 (CGI 2003,
               July 09--11, 2003, Tokyo, Japan)},
  optstatus = {},
  optvolume = {},
  abstract = {A number of Non-Photorealistic Rendering methods for producing
              artistic style images have been developed. Recently, a method
              called "Image Analogies" was proposed. This method is based on the
              idea of example-based filtering that uses a pair of images (an
              original image and a filtered image) as training data and creates
              an image which has a style that resembles the filtered image of
              the training data. This method has great flexibility since the
              users can create various styles of images by simply changing the
              training data. In this paper, we extend ``Image Analogies'' to
              create various styles of animations. The coherence between frames
              is considered by computing the pixel flows between the frames.
              From experimental results, the proposed method can create nice
              animation sequences.},
  optnumber = {},
  title = {{C}reating {V}arious {S}tyles of {A}nimations {U}sing
           {E}xample-{B}ased {F}iltering},
  year = {2003},
  pages = {312--317},
}

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