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115
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ICMCS
2006
IEEE
97views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Fast Progressive Model Refinement Global Motion Estimation Algorithm with Prediction
Global Motion Estimation (GME) is an important part in the object-based applications. In this paper, a fast progressive model refinement (FPMR) GME algorithm is proposed. It can s...
Haifeng Wang, Jia Wang, Qingshan Liu, Hanqing Lu
ICIP
2008
IEEE
16 years 6 months ago
Super-resolution of video using key frames and motion estimation
Many scalable video coding systems use frame downsampling in order to reduce complexity and to enable enhancement layers. Super-resolution (SR) can be used to help the up-sampling...
Fernanda Brandi, Ricardo L. de Queiroz, Debargha M...
ICIP
2006
IEEE
16 years 6 months ago
Computation Error Tolerance in Motion Estimation Algorithms
In this paper we study the computation error tolerance properties of motion estimation algorithms. We are motivated by two scenarios where hardware systems may introduce computati...
Hye-Yeon Cheong, In Suk Chong, Antonio Ortega
ICIP
1998
IEEE
16 years 6 months ago
3D Motion Estimation using Expansion Matching and KL based Canonical Images
This paper describes a novel approach to 3D motion estimation of planar objects based on eigennormalization, Expansion Matching (EXM) and a scaled orthographic projection model. O...
Zhiqian Wang, Jezekiel Ben-Arie
173
Voted
CVPR
2010
IEEE
15 years 11 months ago
Motion Estimation with Non-Local Total Variation Regularization
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principle...
Manuel Werlberger, Thomas Pock, Horst Bischof