Audio Highlight Detection Method for Cloud-Based Multimedia Service System

作     者：李祺 徐国爱 田斌 张淼 Li Qi;Xu Guo'ai;Tian Bin;Zhang Miao

作者机构：lnformntion Security Center Beijing University of Posts and Telecommunications National Engineering Laboratory for Disaster Backup and Recovery Beijing University of Posts and Telecommunications 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2011年第8卷第6期

页      面：51-57页

核心收录：

学科分类：0810[工学-信息与通信工程] 0711[理学-系统科学] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 0839[工学-网络空间安全] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Development and Reform Commission Information Security Special Fund National Key Basic Reseerch Program of China (973 program) under Grant No.2007CB311203 

主　　题：cloud multimedia service system audio highlight detection audio content analysis unsupervised approach 

摘      要：With the development of cloud-based data centers and multimedia technologies, cloud-based multimedia service systems have been paid more and more attention. Audio highlights detection plays an important role in the cloud-based multimedia service system. In this paper, we proposed a novel highlight detection method to extract the audio highlight effects for the cloud-based 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 TF-IDF 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.