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» Efficient and optimal block matching for motion estimation
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CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
14 years 1 months ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng
ICIP
2010
IEEE
13 years 5 months ago
Adaptive motion model selection using a cubic spline based estimation framework
A block based video coder that supports multiple motion models is proposed. Apart from the typical translational motion model, we employ parametric models to more accurately repre...
Haricharan Lakshman, Heiko Schwarz, Thomas Wiegand
ICIP
2009
IEEE
14 years 8 months ago
Efficient Motion Compensated Frame Rate Upconversion Using Multiple Interpolations And Median Filtering
Methods for motion compensated frame rate upconversion exploit motion in order to generate interpolated frames that are temporally located between the available original frames of...
ISCAS
2005
IEEE
182views Hardware» more  ISCAS 2005»
14 years 29 days ago
Efficient search and mode prediction algorithms for motion estimation in H.264/AVC
—H.264 video coding standard adopts different coding schemes like variable block sizes and multiple reference frames for motion estimation. Hence, H.264/AVC provides gains in com...
Gwo-Long Li, Mei-Juan Chen, Hung-Ju Li, Ching-Ting...
MTA
2007
72views more  MTA 2007»
13 years 6 months ago
An improved variable-size block-matching algorithm
In this paper, we proposed an improved “bottom-up” variable-size block matching method. Different from previous work, the proposed method does not need any threshold during th...
Haifeng Wang, Qingshan Liu, Hanqing Lu