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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(英文)
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作者 李祺 徐国爱 +1 位作者 田斌 张淼 《China Communications》 SCIE CSCD 2011年第6期51-57,共7页
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 cl... 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. 展开更多
关键词 CLOUD multimedia service system audio highlight detection audio content analysis unsupervised approach
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