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» Detecting Video Forgeries Based on Noise Characteristics
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SIAMAM
2011
13 years 2 months ago
Imaging Schemes for Perfectly Conducting Cracks
We consider the problem of locating perfectly conducting cracks and estimating their geometric features from multi-static response matrix measurements at a single or multiple frequ...
Habib Ammari, Josselin Garnier, Hyeonbae Kang, Won...
CVPR
2004
IEEE
14 years 9 months ago
A Discriminative Feature Space for Detecting and Recognizing Faces
In this paper, we introduce a novel discriminative feature space which is efficient not only for face detection but also for recognition. The face representation is based on local...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
ICIP
2005
IEEE
14 years 9 months ago
Eigenwalks: walk detection and biometrics from symmetry patterns
In this paper we present a symmetry-based approach which can be used to detect humans and to extract biometric characteristics from video image-sequences. The method employs a simp...
Laszlo Havasi, Tamás Szirányi, Zolt&...
PIMRC
2010
IEEE
13 years 5 months ago
Frame Synchronization based on robust header recovery and Bayesian testing
Video transmission on wireless links usually requires some frame aggregation, so that the overhead due to the headers is not a too large percentage of the bit-stream. In such a sit...
Usman Ali, Michel Kieffer, Pierre Duhamel
ISBI
2008
IEEE
14 years 8 months ago
A learning based hierarchical model for vessel segmentation
In this paper we present a learning based method for vessel segmentation in angiographic videos. Vessel Segmentation is an important task in medical imaging and has been investiga...
Richard Socher, Adrian Barbu, Dorin Comaniciu