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» Object Segmentation and Tracking Using Video Locales
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MVA
2000
165views Computer Vision» more  MVA 2000»
13 years 9 months ago
Bayesian Shot Detection Using Structural Weighting
A video stream consists of a number of shots each of which has different boundary types such as cut, fade, and dissolve. Many previous approaches can find the cut boundary without...
Seung-Hoon Han, In-So Kweon, Chang-Yeong Kim, Yang...
CVPR
2010
IEEE
1639views Computer Vision» more  CVPR 2010»
14 years 4 months ago
Multi-Target Tracking of Time-varying Spatial Patterns
Time-varying spatial patterns are common, but few computational tools exist for discovering and tracking multiple, sometimes overlapping, spatial structures of targets. We propose...
Jingchen Liu, Yanxi Liu
ISMAR
2005
IEEE
14 years 1 months ago
Reality Tooning: Fast Non-Photorealism for Augmented Video Streams
Recently, we have proposed a novel approach to generating augmented video streams. The output images are a non-photorealistic reproduction of the augmented environment. Special st...
Jan Fischer, Dirk Bartz, Wolfgang Straßer
PAMI
2010
192views more  PAMI 2010»
13 years 6 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
ICPR
2008
IEEE
14 years 2 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock