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» An adaptive graph model for automatic image annotation
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ICIP
2005
IEEE
15 years 11 months ago
Variable module graphs: a framework for inference and learning in modular vision systems
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
Amit Sethi, Mandar Rahurkar, Thomas S. Huang
ACII
2007
Springer
15 years 4 months ago
Model of Facial Expressions Management for an Embodied Conversational Agent
Abstract. In this paper we present a model of facial behaviour encompassing interpersonal relations for an Embodied Conversational Agent (ECA). Although previous solutions of this ...
Radoslaw Niewiadomski, Catherine Pelachaud
FGR
2008
IEEE
346views Biometrics» more  FGR 2008»
15 years 4 months ago
Markov random field models for hair and face segmentation
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
JMM2
2007
127views more  JMM2 2007»
14 years 9 months ago
Robust Face Recognition through Local Graph Matching
— A novel face recognition method is proposed, in which face images are represented by a set of local labeled graphs, each containing information about the appearance and geometr...
Ehsan Fazl Ersi, John S. Zelek, John K. Tsotsos
MM
2004
ACM
154views Multimedia» more  MM 2004»
15 years 3 months ago
PLSA-based image auto-annotation: constraining the latent space
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
Florent Monay, Daniel Gatica-Perez