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» Clustering of Video Objects by Graph Matching
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ISM
2006
IEEE
129views Multimedia» more  ISM 2006»
13 years 4 months ago
A Graph-Based Approach for Modeling and Indexing Video Data
In this work, we propose new graph-based data model and indexing to organize and manage video data. To consider spatial and temporal characteristics of video, we introduce a new g...
JeongKyu Lee
SIGMOD
2005
ACM
194views Database» more  SIGMOD 2005»
13 years 10 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
ICIP
2005
IEEE
14 years 6 months ago
Object tracking based on morphological elastic graph matching
This paper presents a novel method for real-time tracking of objects in video sequences. Tracking is performed using the so-called Morphological Elastic Graph Matching algorithm. ...
Georgios N. Stamou, Nikos Nikolaidis, Ioannis Pita...
SCVMA
2004
Springer
13 years 10 months ago
Segregation of Moving Objects Using Elastic Matching
We present a method for figure-ground segregation of moving objects from monocular video sequences. The approach is based on tracking extracted contour fragments, in contrast to ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy
CVPR
2003
IEEE
14 years 6 months ago
Many-to-Many Graph Matching via Metric Embedding
Graph matching is an important component in many object recognition algorithms. Although most graph matching algorithms seek a one-to-one correspondence between nodes, it is often...
Yakov Keselman, Ali Shokoufandeh, M. Fatih Demirci...