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» Detecting Video Forgeries Based on Noise Characteristics
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ISMAR
2009
IEEE
14 years 2 months ago
A setup for evaluating detectors and descriptors for visual tracking
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking...
Steffen Gauglitz, Tobias Höllerer, Petra Krah...
IBPRIA
2005
Springer
14 years 27 days ago
From Moving Edges to Moving Regions
In this paper, we propose a new method to extract moving objects from a video stream without any motion estimation. The objective is to obtain a method robust to noise, large motio...
Loic Biancardini, Eva Dokladalova, Serge Beucher, ...
WCNC
2008
IEEE
14 years 1 months ago
Minimum Symbol Error Rate Turbo Multiuser Beamforming Aided QAM Receiver
— This paper studies a novel iterative soft interference cancellation (SIC) aided beamforming receiver designed for highthroughput quadrature amplitude modulation systems communi...
Shuang Tan, Sheng Chen, Lajos Hanzo
PAMI
2008
203views more  PAMI 2008»
13 years 7 months ago
Free-Form Object Reconstruction from Silhouettes, Occluding Edges and Texture Edges: A Unified and Robust Operator Based on Dual
In this paper, the duality in differential form is developed between a 3D primal surface and its dual manifold formed by the surface's tangent planes, i.e., each tangent plan...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel, Dav...
MM
2003
ACM
241views Multimedia» more  MM 2003»
14 years 18 days ago
Invariance in motion analysis of videos
In this paper, we propose an approach that retrieves motion of objects from the videos based on the dynamic time warping of view invariant characteristics. The motion is represent...
Cen Rao, Mubarak Shah, Tanveer Fathima Syeda-Mahmo...