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» Detecting Video Forgeries Based on Noise Characteristics
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MVA
1996
13 years 8 months ago
Video Enhancement Sensor Using Motion Adaptive Storage Time
We propose a video enhancement sensor for smoothing random noise and getting wide dynamic range. The sensor has computational elements based on a column-parallel architecture. It ...
Takayuki Hamamoto, Kiyoharu Aizawa, Mitsutoshi Hat...
ICIP
1999
IEEE
14 years 9 months ago
Roc Curves for Performance Evaluation of Video Sequences Processing Systems for Surveillance Applications
Performances evaluation of image processing intermediate results in video based surveillance systems is extremely important due to the variety of approaches to this task. In this ...
Franco Oberti, Andrea Teschioni, Carlo S. Regazzon...
ICMCS
2006
IEEE
126views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Detection and Removal of Long Scratch Lines in Aged Films
Historical films usually have defects. We study the type of defects, and propose a series of solutions to detect defects before they are repaired by our inpainting algorithms. Thi...
Timothy K. Shih, Louis H. Lin, Wonjun Lee
TWC
2008
105views more  TWC 2008»
13 years 7 months ago
On Multi-User EXIT Chart Analysis Aided Turbo-Detected MBER Beamformer Designs
This paper studies the mutual information transfer characteristics of a novel iterative soft interference cancellation (SIC) aided beamforming receiver communicating over both addi...
Shuang Tan, Sheng Chen, Lajos Hanzo
IJON
2010
139views more  IJON 2010»
13 years 5 months ago
Event monitoring via local motion abnormality detection in non-linear subspace
We present a computational approach to abnormal visual event detection, which is based on exploring and modeling local motion patterns in a non-linear subspace. We use motion vect...
Ioannis Tziakos, Andrea Cavallaro, Li-Qun Xu