| 基于HMM的足球视频语义结构分析 |
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| 引用本文： | 刘宇驰,吴玲达.基于HMM的足球视频语义结构分析[J].计算机工程与应用,2006,42(28):174-176. |
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| 作者姓名： | 刘宇驰 吴玲达 |
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| 作者单位： | 1. 国防科学技术大学信息系统与管理学院,长沙,410073;空军雷达学院一系,武汉,430019
2. 国防科学技术大学信息系统与管理学院,长沙,410073 |
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| 摘 要： | 提出了一种足球视频的语义结构,即足球视频由多个语义事件构成,每个语义事件由数个语义镜头组成。为了分析这种语义结构,建立了“精彩事件”和“一般事件”两种语义事件的多个隐马尔科夫模型(HMMs),并提出了场地比率、人脸比率、边缘、运动强度四种特征作为HMMs的观测值输入。利用HMM的三种算法训练HMMs,分析出精彩事件,并为每个镜头标注语义。
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| 关 键 词： | 足球视频 语义结构 语义镜头 隐马尔科夫模型 |
| 文章编号： | 1002-8331（2006）28-0174-03 |
| 收稿时间： | 2006-05 |
| 修稿时间： | 2006-05 |
Analyzing Semantic Structure of Soccer Video with HMM |
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| LIU Yu-chi,WU Ling-da.Analyzing Semantic Structure of Soccer Video with HMM[J].Computer Engineering and Applications,2006,42(28):174-176. |
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| Authors: | LIU Yu-chi WU Ling-da |
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| Affiliation: | 1.National University of Defense and Technology, Changsha 410073; 2.Air Force Radar Academy,Wuhan 430019 |
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| Abstract: | A semantic structure of soccer video is proposed.Soccer video is composed with “semantic events”,each of which is constructed by several “semantic shots”.To analyze this semantic structure,Hidden Markov Models representing “highlights events” and “normal events” are introduced.Four features,field ratio,face ratio,edge and motion intensity,are constructed to be the input of HMMs as observation sequence.Using three algorithms of HMM to train HMMs,analyze semantic structure of soccer video and annotate shots as semantic shots. |
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| Keywords: | soccer video semantic structure semantic shot HMM |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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