@inproceedings{Collomosse:2004:MDV,
opteditor = {},
optpostscript = {},
optaddress = {},
optorganization = {},
author = {John P. Collomosse and Peter M. Hall},
optkey = {},
optannote = {},
optseries = {},
url = {http://www.bmva.ac.uk/bmvc/2004/abstracts/abstract_116.html},
optpublisher = {},
localfile = {papers/Collomosse.2004.MDV.pdf},
optisbn = {},
optkeywords = {},
optmonth = {},
optciteseer = {},
optdoi = {},
optpages = {},
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booktitle = {Proceedings 15\textsuperscript{th} British Machine Vision
Conference (BMVC, September 2004, Kingston)},
optvolume = {},
optnumber = {},
abstract = {The contribution of this paper is a novel spatiotemporal
description of real video sequences. Our description comprises a
set of surfaces that separate objects in the video, and an
accompanying database which describes objects in the video. We
explain how to automatically process video into our description,
and use it to solve a long-standing problem in Computer Graphics;
that of automatically producing non-photorealistic (NPR)
animations from video sequences. We show empirically that our
description is highly compact relative to alternative coding
schemes, and that our NPR animation technique out performs the
current state-of-the-art in automatic video painting by about an
order of magnitude, in terms of temporal coherence.},
title = {{A} {M}id-{L}evel {D}escription of {V}ideo, with {A}pplication to
{N}on-photorealistic {A}nimation},
year = {2004},
}
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