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Storyboard sketches for content based video retrieval

Abstract:

We present a novel Content Based Video Retrieval (CBVR) system, driven by free-hand sketch queries depicting both objects and their movement (via dynamic cues; streak-lines and arrows). Our main contribution is a probabilistic model of video clips (based on Linear Dynamical Systems), leading to an algorithm for matching descriptions of sketched objects to video. We demonstrate our model fitting to clips under static and moving camera conditions, exhibiting linear and oscillatory motion. We ev...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
2009 IEEE 12th International Conference on Computer Vision Journal website
Pages:
245-252
Host title:
2009 IEEE 12th International Conference on Computer Vision
Publication date:
2010-07-29
Acceptance date:
2009-08-01
Source identifiers:
632566
Keywords:
Pubs id:
pubs:632566
UUID:
uuid:5bd5861c-ff0f-40fd-ab95-525975a351b5
Local pid:
pubs:632566
Deposit date:
2016-07-08

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