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» Markov Random Field Modeling in Computer Vision
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ICPR
2008
IEEE
14 years 3 months ago
Video attention: Learning to detect a salient object sequence
We study video attention by detecting a salient object sequence from video segment. We formulate salient object sequence detection as energy minimization problem in a conditional ...
Tie Liu, Nanning Zheng, Wei Ding, Zejian Yuan
CVPR
2005
IEEE
14 years 11 months ago
Multiscale Segmentation by Combining Motion and Intensity Cues
We present a multiscale method for motion segmentation. Our method begins with local, ambiguous optical flow measurements. It uses a process of aggregation to resolve the ambiguit...
Meirav Galun, Alexander Apartsin, Ronen Basri
CVPR
2007
IEEE
14 years 11 months ago
Two-View Motion Segmentation from Linear Programming Relaxation
This paper studies the problem of multibody motion segmentation, which is an important, but challenging problem due to its well-known chicken-and-egg-type recursive character. We ...
Hongdong Li
ICCV
2001
IEEE
14 years 11 months ago
Euclidean Reconstruction and Auto-Calibration from Continuous Motion
This paper deals with the problem of incorporating natural regularity conditions on the motion in an MAP estimator for structure and motion recovery from uncalibrated image sequen...
Fredrik Kahl, Anders Heyden
ICPR
2008
IEEE
14 years 3 months ago
Alternative similarity functions for graph kernels
Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...
Jérôme Kunegis, Andreas Lommatzsch, C...