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» Adaptive Bayesian networks for video processing
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AVSS
2005
IEEE
14 years 1 months ago
Surveillance video for mobile devices
In this paper, we present a video encoding scheme that uses object-based adaptation to deliver surveillance video to mobile devices. The method relies on a set of complementary vi...
Olivier Steiger, Touradj Ebrahimi, Andrea Cavallar...
NIPS
2003
13 years 8 months ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
ICIP
2003
IEEE
14 years 9 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis
AINA
2009
IEEE
14 years 2 months ago
Content-Adaptive Robust H.264/SVC Video Communications over 802.11e Networks
In this paper we present a low-complexity traffic prioritization strategy for video transmission using the H.264 scalable video coding (SVC) standard over 802.11e wireless networ...
Dario Gallucci, Attilio Fiandrotti, Enrico Masala,...
ICASSP
2011
IEEE
12 years 11 months ago
Adaptive appearance learning for visual object tracking
This paper addresses online learning of reference object distribution in the context of two hybrid tracking schemes that combine the mean shift with local point feature correspond...
Zulfiqar Hassan Khan, Irene Yu-Hua Gu