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» Clustering of Video Objects by Graph Matching
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VR
2010
IEEE
151views Virtual Reality» more  VR 2010»
13 years 6 months ago
Virtually augmenting hundreds of real pictures: An approach based on learning, retrieval, and tracking
Tracking is a major issue of virtual and augmented reality applications. Single object tracking on monocular video streams is fairly well understood. However, when it comes to mul...
Julien Pilet, Hideo Saito
MMSP
2008
IEEE
144views Multimedia» more  MMSP 2008»
14 years 2 months ago
Spatiotemporal semantic video segmentation
—In this paper, we propose a framework to extend semantic labeling of images to video shot sequences and achieve efficient and semantic-aware spatiotemporal video segmentation. ...
Eric Galmar, Thanos Athanasiadis, Benoit Huet, Yan...
CVPR
2011
IEEE
13 years 3 months ago
Scale and Rotation Invariant Matching Using Linearly Augmented Trees
We propose a novel linearly augmented tree method for efficient scale and rotation invariant object matching. The proposed method enforces pairwise matching consistency defined ...
Hao Jiang, Tai-Peng Tian, Stan Sclaroff
TMM
2010
253views Management» more  TMM 2010»
13 years 2 months ago
Multi-View Video Summarization
Previous video summarization studies focused on monocular videos, and the results would not be good if they were applied to multi-view videos directly, due to problems such as the ...
Yanwei Fu, Yanwen Guo, Yanshu Zhu, Feng Liu, Chuan...
CVPR
2012
IEEE
11 years 10 months ago
Higher order motion models and spectral clustering
Motion segmentation based on point trajectories can integrate information of a whole video shot to detect and separate moving objects. Commonly, similarities are defined between ...
Peter Ochs, Thomas Brox