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[KGF+02]  Video Mosaics

Klein:2002:VM (In proceedings)
Author(s)Klein A., Grant T., Finkelstein A. and Cohen M.
Title« Video Mosaics »
InProceedings of the Second International Symposium on Non-Photorealistic Animation and Rendering (NPAR 2002, Annecy, France, June 3--5, 2002)
Editor(s)Adam Finkelstein
Page(s)21--28
Year2002
PublisherACM Press
AddressNew York
Editor(s)Adam Finkelstein

Abstract
We present a method for creating a video mosaic, a two-dimensional arrangement of small source videos (tiles) that suggests a larger, unified target video. We develop a distance measure to assess the match between source and target based on average color and also three-dimensional wavelet decomposition signatures in the YIQ color space. We also introduce a dynamic programming algorithm that automatically chooses the smaller tiling sub-sequences from a large collection of candidate source video sequences to best match the target video. After the selection process, the color in the tiling videos is automatically adjusted to better suggest the target video. Finally, our method also supports the use of different tiling shapes to create an additional level of visual interest.

BibTeX code
@inproceedings{Klein:2002:VM,
  optnote = {},
  optorganization = {},
  author = {Allison W. Klein and Tyler Grant and Adam Finkelstein and Michael F.
            Cohen},
  optkey = {},
  optannote = {},
  optseries = {},
  editor = {Adam Finkelstein},
  address = {New York},
  localfile = {papers/Klein.2002.VM.pdf},
  publisher = {ACM Press},
  doi = {http://doi.acm.org/10.1145/508530.508534},
  optmonth = {},
  citeseer = {http://citeseer.nj.nec.com/klein02video.html},
  optcrossref = {},
  booktitle = NPAR2002,
  optstatus = {OK},
  optvolume = {},
  optnumber = {},
  title = {{V}ideo {M}osaics},
  abstract = {We present a method for creating a video mosaic, a two-dimensional
              arrangement of small source videos (tiles) that suggests a larger,
              unified target video. We develop a distance measure to assess the
              match between source and target based on average color and also
              three-dimensional wavelet decomposition signatures in the YIQ
              color space. We also introduce a dynamic programming algorithm
              that automatically chooses the smaller tiling sub-sequences from a
              large collection of candidate source video sequences to best match
              the target video. After the selection process, the color in the
              tiling videos is automatically adjusted to better suggest the
              target video. Finally, our method also supports the use of
              different tiling shapes to create an additional level of visual
              interest. },
  year = {2002},
  pages = {21--28},
}

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