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基于云的多媒体服务平台中音频关键片段检测方法
引用本文:李祺,徐国爱,田斌,张淼.基于云的多媒体服务平台中音频关键片段检测方法[J].中国通信学报,2011,8(6):51-57.
作者姓名:李祺  徐国爱  田斌  张淼
摘    要:

收稿时间:2011-11-23;

Audio Highlight Detection Method for Cloud-Based Multimedia Service System
Li Qi,Xu Guo’ai,Tian Bin,Zhang Miao.Audio Highlight Detection Method for Cloud-Based Multimedia Service System[J].China communications magazine,2011,8(6):51-57.
Authors:Li Qi  Xu Guo’ai  Tian Bin  Zhang Miao
Affiliation:1Informntion Security Center, Beijing University of Posts and Telecommunications, Beijing 100876, P.R.China 2National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing 100876, P.R.China
Abstract:With the development of cloudbased data centers and multimedia technologies , cloudbased multimedia service systems have been paid more and more attention. Audio highlights detection plays an important role in the cloudbased multimedia service system. In this paper, we proposed a novel highlight detection method to extract the audio highlight effects for the cloudbased multimedia service system using the unsupervised approach. In the proposed method, we first extract the audio features for each audio document. Then the spectral clustering scheme was used to decompose the audio document into several audio effects . Then, we introduce the TFIDF method to label the highlight effect. We design some experiments to evaluate the performance of the proposed method, and the experimental results show that our method can achieve satisfying results .
Keywords:cloud  multimedia service system  audio highlight detection  audio content analysis  unsupervised approach
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