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» Detecting Video Forgeries Based on Noise Characteristics
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ACIVS
2009
Springer
14 years 2 months ago
Dynamic Texture Extraction and Video Denoising
According to recent works, introduced by Y.Meyer [1] the decomposition models based on Total Variation (TV) appear as a very good way to extract texture from image sequences. Indee...
Mathieu Lugiez, Michel Ménard, Abdallah El-...
TIP
2010
142views more  TIP 2010»
13 years 2 months ago
Robust Web Image/Video Super-Resolution
Abstract--This paper proposes a robust single-image super-resolution method for enlarging low quality web image/video degraded by downsampling and compression. To simultaneously im...
Zhiwei Xiong, Xiaoyan Sun, Feng Wu
ECUMN
2007
Springer
13 years 11 months ago
Characterization of Slice-Based H.264/AVC Encoded Video Traffic
An explicit slice-based mode type selection scheme for use in H.264/AVC has recently been developed, which preserves the coding efficiency of H.264/AVC without requiring any modif...
Astrid Undheim, Yuan Lin, Peder J. Emstad
CVPR
1996
IEEE
14 years 9 months ago
Combining greyvalue invariants with local constraints for object recognition
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to simzlarity transformations in...
Cordelia Schmid, Roger Mohr
ICIP
2007
IEEE
14 years 9 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