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CVPR
2000
IEEE
15 years 11 months ago
Improving Visual Matching
Many visual matching algorithms can be described in terms of the features and the inter-feature distance or metric. The most commonly used metric is the sum of squared di erences ...
Michael S. Lew, Nicu Sebe, Thomas S. Huang
CVPR
2005
IEEE
15 years 11 months ago
Shape Matching and Object Recognition Using Low Distortion Correspondences
We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up corres...
Alexander C. Berg, Tamara L. Berg, Jitendra Malik
113
Voted
SIGMOD
2005
ACM
194views Database» more  SIGMOD 2005»
15 years 3 months ago
STRG-Index: Spatio-Temporal Region Graph Indexing for Large Video Databases
In this paper, we propose new graph-based data structure and indexing to organize and retrieve video data. Several researches have shown that a graph can be a better candidate for...
JeongKyu Lee, Jung-Hwan Oh, Sae Hwang
CVPR
2004
IEEE
15 years 11 months ago
Collaborative Tracking of Multiple Targets
Coalescence, meaning the tracker associates more than one trajectories to some targets while loses track for others, is a challenging problem for visual tracking of multiple targe...
Ting Yu, Ying Wu
ICDE
2009
IEEE
188views Database» more  ICDE 2009»
15 years 11 months ago
GuruMine: A Pattern Mining System for Discovering Leaders and Tribes
In this demo we introduce GuruMine, a pattern mining system for the discovery of leaders, i.e., influential users in social networks, and their tribes, i.e., a set of users usually...
Amit Goyal 0002, Byung-Won On, Francesco Bonchi, L...