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92
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SSIAI
2000
IEEE
15 years 1 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
86
Voted
IWCM
2004
Springer
15 years 2 months ago
Bayesian Approaches to Motion-Based Image and Video Segmentation
We present a variational approach for segmenting the image plane into regions of piecewise parametric motion given two or more frames from an image sequence. Our model is based on ...
Daniel Cremers
ICCV
2009
IEEE
2205views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Video stabilization using robust feature trajectories
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation an...
Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouh...
ICMCS
2006
IEEE
179views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Optimizing Algorithms for Region-of-Interest Video Compression, with Application to Mobile Telehealth
Wireless communication of video poses constraints on information capacity. Region-of-Interest (ROI) video coding provides higher quality in the ROI, but poorer quality in the back...
Sira Rao, Nikil Jayant
102
Voted
ECCV
2008
Springer
15 years 11 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...