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Automatic cast listing in feature-length films with Anisotropic Manifold Space

Arandjelovic, Ognjen and Cipolla, R. 2006, Automatic cast listing in feature-length films with Anisotropic Manifold Space, in CVPR 2006 : Proceedings of the Computer Vision and Pattern Recognition Conference 2006, IEEE, Piscataway, New Jersey, pp. 1513-1520, doi: 10.1109/CVPR.2006.64.

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Title Automatic cast listing in feature-length films with Anisotropic Manifold Space
Author(s) Arandjelovic, Ognjen
Cipolla, R.
Conference name Computer Vision and Pattern Recognition. Conference (2006 : New York, NY)
Conference location New York, NY
Conference dates 17-22 June 2006
Title of proceedings CVPR 2006 : Proceedings of the Computer Vision and Pattern Recognition Conference 2006
Editor(s) [Unknown]
Publication date 2006
Conference series Computer Vision and Pattern Recognition Conference
Start page 1513
End page 1520
Total pages 8
Publisher IEEE
Place of publication Piscataway, New Jersey
Summary Our goal is to automatically determine the cast of a feature-length film. This is challenging because the cast size is not known, with appearance changes of faces caused by extrinsic imaging factors (illumination, pose, expression) often greater than due to differing identities. The main contribution of this paper is an algorithm for clustering over face appearance manifolds. Specifically: (i) we develop a novel algorithm for exploiting coherence of dissimilarities between manifolds, (ii) we show how to estimate the optimal dataset-specific discriminant manifold starting from a generic one, and (iii) we describe a fully automatic, practical system based on the proposed algorithm. The performance of the system is evaluated on well-known featurelength films and situation comedies on which it is shown to produce good results.
ISBN 0769525970
Language eng
DOI 10.1109/CVPR.2006.64
Field of Research 080104 Computer Vision
080106 Image Processing
080109 Pattern Recognition and Data Mining
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2006, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30058435

Document type: Conference Paper
Collections: Centre for Pattern Recognition and Data Analytics
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.