Hypergraph Partitioning for Video Event Detection

Xiao Jun Chen, Bao-Ding Chen, Hui Xu, Jian-Guo Zhang, Jia Ke, Wen-Xin Wang, Xin-Ping Song, Xiao-Ming Jiang, Manrong Wang, Xiaobo Chen, Qian-Qian Zhang, Wen-Hong Cai
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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.
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用于视频事件检测的超图分区
随着计算机技术的发展,视频事件检测越来越成为识别模式的重要组成部分。视频事件检测是对视频中的物体或现象进行描述、识别、分类和解释的过程。最后跨越底层的语义鸿沟,得到高层次的语义概念。本文对超图划分理论进行了改进,用于视频事件的分类。利用图变换工具AGG进行了实验,对超图方法的精度进行了评价,取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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