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» Clustering of Video Objects by Graph Matching
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ICMCS
2005
IEEE
162views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Clustering of Video Objects by Graph Matching
We propose a new graph-based data structure, called Spatio Temporal Region Graph (STRG) which can represent the content of video sequence. Unlike existing ones which consider main...
JeongKyu Lee, Jung-Hwan Oh, Sae Hwang
CVPR
2007
IEEE
14 years 6 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
CVPR
2009
IEEE
13 years 11 months ago
Trajectory parsing by cluster sampling in spatio-temporal graph
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin
CIVR
2005
Springer
133views Image Analysis» more  CIVR 2005»
13 years 10 months ago
Hot Event Detection and Summarization by Graph Modeling and Matching
This paper proposes a new approach for hot event detection and summarization of news videos. The approach is mainly based on two graph algorithms: optimal matching (OM) and normali...
Yuxin Peng, Chong-Wah Ngo
PRL
2007
164views more  PRL 2007»
13 years 3 months ago
Retrieval of objects in video by similarity based on graph matching
In this paper, we tackle the problem of matching of objects in video in the context of the rough indexing paradigm. The approach developed is based on matching of region adjacency...
F. Chevalier, Jean-Philippe Domenger, Jenny Benois...