A study of semantic context detection by using SVM and GMM approaches

Wei Ta Chu, Wen Huang Cheng, Ja Ling Wu, Jane Yung Jen Hsu

研究成果: Conference contribution

10 引文 斯高帕斯(Scopus)

摘要

Semantic-level content analysis is a crucial issue to achieve efficient content retrieval and management. In this paper, we propose a hierarchical approach that models the statistical characteristics of several audio events over a time series to accomplish semantic context detection. Two stages, including audio event and semantic context modeling/testing, are devised to bridge the semantic gap between physical audio features and semantic concepts. HMMs are used to model audio events, and SVMs and GMMs are used to fuse the characteristics of various audio events related to some specific semantic concepts. The experimental results show that the approach is effective in detecting semantic context. The comparison between SVM- and GMM-based approaches is also studied.

原文English
主出版物標題2004 IEEE International Conference on Multimedia and Expo (ICME)
頁面1591-1594
頁數4
出版狀態Published - 2004 十二月 1
事件2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan
持續時間: 2004 六月 272004 六月 30

出版系列

名字2004 IEEE International Conference on Multimedia and Expo (ICME)
3

Other

Other2004 IEEE International Conference on Multimedia and Expo (ICME)
國家Taiwan
城市Taipei
期間04-06-2704-06-30

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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