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» Change detection using joint intensity histogram
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ICASSP
2010
IEEE
14 years 9 months ago
Forensic estimation and reconstruction of a contrast enhancement mapping
Due to the ease with which convincing digital image forgeries can be created, a need has arisen for digital forensic techniques capable of detecting image manipulation. Once image...
Matthew C. Stamm, K. J. Ray Liu
ROBOCUP
1999
Springer
141views Robotics» more  ROBOCUP 1999»
15 years 1 months ago
A Segmentation System for Soccer Robot Based on Neural Networks
An innovative technique for segmentation of color images is proposed. The technique implements an approach based on thresholding of the hue histogram. A new function for detecting...
Carmelo Amoroso, Antonio Chella, Vito Morreale, Pi...
102
Voted
ICIP
2007
IEEE
15 years 11 months ago
Multi-Modal Particle Filtering Tracking using Appearance, Motion and Audio Likelihoods
We propose a multi-modal object tracking algorithm that combines appearance, motion and audio information in a particle filter. The proposed tracker fuses at the likelihood level ...
Matteo Bregonzio, Murtaza Taj, Andrea Cavallaro
CSMR
2006
IEEE
15 years 3 months ago
IntensiVE, a toolsuite for documenting and checking structural source-code regularities
As size and complexity of software systems increase, preserving the design and specification of their implementation structure gains importance in order to maintain the evolvabil...
Kim Mens, Andy Kellens
CVPR
2007
IEEE
15 years 11 months ago
Kernel Sharing With Joint Boosting For Multi-Class Concept Detection
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui