Hypergraph Partitioning for Video Event Detection

With the development of computer technology, video event detection is becoming more and more important part of Recognition Pattern. Video event detection is the process of describing, identifying, classifying and interpreting the Objects or phenomena in the video. Finally across the underlying seman...

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Published in2016 IEEE Symposium on Service-Oriented System Engineering (SOSE) pp. 197 - 202
Main Authors Xiao-Jun Chen, Bao-Ding Chen, Hui Xu, Jian-Guo Zhang, Jia Ke, Wen-Xin Wang, Xin-Ping Song, Xiao-Ming Jiang, Man-Rong Wang, Xiao-Bo Chen, Qian-Qian Zhang, Wen-Hong Cai
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2016
Subjects
Classification algorithms
Clustering algorithms
Eigenvalues and eigenfunctions
Event detection
hypergraph
hypergraph partitioning
Laplace equations
Laplacian matrix
Semantics
spectral segmentation
Trajectory
video event detection
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Abstract With the development of computer technology, video event detection is becoming more and more important part of Recognition Pattern. Video event detection is the process of describing, identifying, classifying and interpreting the Objects or phenomena in the video. Finally across the underlying semantic gap, get high-level semantic concept. This paper improves the hypergraph partitioning theory, for the classification of the video events. The graph transformation tool AGG is used to conduct experiments in order to evaluate the accuracy of hypergraph method, a good result is obtained.
AbstractList With the development of computer technology, video event detection is becoming more and more important part of Recognition Pattern. Video event detection is the process of describing, identifying, classifying and interpreting the Objects or phenomena in the video. Finally across the underlying semantic gap, get high-level semantic concept. This paper improves the hypergraph partitioning theory, for the classification of the video events. The graph transformation tool AGG is used to conduct experiments in order to evaluate the accuracy of hypergraph method, a good result is obtained.
Author Xiao-Ming Jiang
Wen-Hong Cai
Jia Ke
Jian-Guo Zhang
Bao-Ding Chen
Wen-Xin Wang
Xiao-Bo Chen
Qian-Qian Zhang
Man-Rong Wang
Hui Xu
Xin-Ping Song
Xiao-Jun Chen
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StartPage 197
SubjectTerms Classification algorithms
Clustering algorithms
Eigenvalues and eigenfunctions
Event detection
hypergraph
hypergraph partitioning
Laplace equations
Laplacian matrix
Semantics
spectral segmentation
Trajectory
video event detection
Title Hypergraph Partitioning for Video Event Detection
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