Spatially homogeneous dynamic textures

Doretto, G., Jones, E., and Soatto, S.
Spatially homogeneous dynamic textures. In Proceedings of European Conference on Computer Vision, pp. 591–602, Prague, Czech Republic, May 2004.
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Abstract

We address the problem of modeling the spatial and temporal second-order statistics of video sequences that exhibit both spatial and temporal regularity, intended in a statistical sense. We model such sequences as dynamic multiscale autoregressive models, and introduce an efficient algorithm to learn the model parameters. We then show how the model can be used to synthesize novel sequences that extend the original ones in both space and time, and illustrate the power, and limitations, of the models we propose with a number of real image sequences.

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  author = {Doretto, G. and Jones, E. and Soatto, S.},
  title = {Spatially homogeneous dynamic textures},
  booktitle = eccv,
  year = {2004},
  volume = {2},
  pages = {591--602},
  address = {Prague, Czech Republic},
  month = may,
  note = {\btohremove{\textsf{\textbf{IF: 0.302, ISICC: 1, GSCC: 7, ARO: 7.4\%}}}},
  bib2html_pubtype = {Refereed Conferences},
  bib2html_rescat = {Dynamic Textures, Visual Motion Analysis},
  abstract = {We address the problem of modeling the spatial and temporal second-order
	statistics of video sequences that exhibit both spatial and temporal
	regularity, intended in a statistical sense. We model such sequences
	as dynamic multiscale autoregressive models, and introduce an efficient
	algorithm to learn the model parameters. We then show how the model
	can be used to synthesize novel sequences that extend the original
	ones in both space and time, and illustrate the power, and limitations,
	of the models we propose with a number of real image sequences.},
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