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84
Voted
ICIP
2009
IEEE
14 years 10 months ago
Modeling of image shutters and motion blur in analog and digital camera systems
For motion imaging the perceived smoothness of a sequence highly depends on motion blur. The exposure for each frame is started and ended with a shutter mechanism. There are diffe...
Michael Schöberl, Siegfried Fößel,...
132
Voted
ICIP
2009
IEEE
14 years 10 months ago
Random swap EM algorithm for finite mixture models in image segmentation
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...
114
Voted
ICMCS
2009
IEEE
205views Multimedia» more  ICMCS 2009»
14 years 10 months ago
Bregman vantage point trees for efficient nearest Neighbor Queries
Nearest Neighbor (NN) retrieval is a crucial tool of many computer vision tasks. Since the brute-force naive search is too time consuming for most applications, several tailored d...
Frank Nielsen, Paolo Piro, Michel Barlaud
106
Voted
ICMCS
2009
IEEE
110views Multimedia» more  ICMCS 2009»
14 years 10 months ago
Visual content layer for scalable object recognition in urban image databases
Rich online map interaction represents a useful tool to get multimedia information related to physical places. With this type of systems, users can automatically compute the optim...
Xavier Baró, Sergio Escalera, Petia Radeva,...
124
Voted
ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
14 years 10 months ago
Emotion recognition from speech VIA boosted Gaussian mixture models
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...