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ICASSP
2011
IEEE
13 years 19 days ago
A new stochastic image model based on Markov random fields and its application to texture modeling
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...
Siamak Yousefi, Nasser D. Kehtarnavaz
ICIP
2006
IEEE
14 years 10 months ago
An adaptive mixture color model for robust visual tracking
Global color characterization is a very powerful tool to model in a simple yet discriminant way the visual appearance of complex objects. A fixed reference model of this type can ...
Antoine Lehuger, Patrick Léchat, Patrick P&...
MVA
2007
112views Computer Vision» more  MVA 2007»
13 years 10 months ago
Probabilistically Semantic Labeling of IR Image for UAV
Applying computer vision technology to IR (Infra-Red) images for UAV (Unmanned Aerial Vehicle) applications is difficult due to its characteristics which differ from common image ...
Teng Li, Jihwan Woo, In-So Kweon
MM
2004
ACM
219views Multimedia» more  MM 2004»
14 years 2 months ago
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
Jianping Fan, Yuli Gao, Hangzai Luo
ICASSP
2009
IEEE
13 years 6 months ago
Image spam filtering using Fourier-Mellin invariant features
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, a framework for filtering image spam...
Haiqiang Zuo, Xi Li, Ou Wu, Weiming Hu, Guan Luo