辅助足球视频切分的音频自动分类与分段  

Automatic Audio Classification and Segmentation for Soccer Video Structuring

作　　者：陈剑赟[1] 李云浩[1] 吴玲达[1] 老松扬[1] 白亮[1] 

机构地区：[1]国防科技大学人文与管理学院,湖南长沙410073

出　　处：《国防科技大学学报》2004年第6期49-53,共5页Journal of National University of Defense Technology

基　　金：国家自然科学基金资助项目(60473117)

摘　　要：视频伴随音轨的自动分类与分段是辅助视频切分的一种有效手段。从足球视频的特征入手,归纳总结出足球视频中三类主要的音频类型,既而提出了基于HMM并且结合一定平滑策略的音频自动分类和分段的框架,在实现音频分类分段的同时完成了足球视频的切分。初步的实验结果验证了该方法的有效性和鲁棒性。Automatic classification and segmentation of the sound track is an effective approach for video structuring. We use this method to parse soccer video. Firstly, based on the characteristics of soccer video, the paper summarizes three audio classes for soccer video, namely game-audio, advertisement-audio and studio-audio. Then it proposes a framework of audio classification and segmentation using Hidden Markov Model and combining some smoothing rules. We develop a 26-coefficients feature stream for HMM model. And the experimental studies indicate that the proposed framework is effective and robust.

关 键 词：音频分类与分段 HMM 足球视频 视频切分 

分 类 号：TN941[电子电信—信号与信息处理]