Analysis on the Structure and the Hidden Markov Model

被引:0
|
作者
Liu, Meng [1 ]
Zhou, Wei [1 ]
Wang, Yang [1 ]
机构
[1] Zhangjiakou Univ, Dept Phys Educ, Zhangjiakou, Peoples R China
关键词
Soccer video; Hidden Markov Model; Feature extraction; Shot detection;
D O I
10.4028/www.scientific.net/AMR.846-847.1359
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of multimedia communications and the computer network technology, video information has a rising proportion in multimedia information. It owns the great amount of data so that it can obtain accurate information for needed video retrieval research, which has become one of the hot topics of research in this field. By taking soccer video for example, this paper firstly analyzes structure of the soccer video and framework structure. Based on this, this paper makes a specific analysis on the extraction of soccer video feature by combining with the literature to apply SSD apparent characteristic. And then, assisted by the improvement of Hidden Markov Model(HMM), this paper constructs the second frame differential method to detect the shot of soccer video. The test results show that the precision of this method is higher in close-up and misjudgment slow motion. However, it has certain leak detection in slow motion replay of high speed movement.
引用
收藏
页码:1359 / 1363
页数:5
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