Low complexity on-line video summarization with Gaussian mixture model based clustering

Shun Hsing Ou, Chia-Han Lee, V. Srinivasa Somayazulu, Yen Kuang Chen, Shao Yi Chien

研究成果: Conference contribution同行評審

10 引文 斯高帕斯(Scopus)

摘要

Techniques of video summarization have attracted significant research interests in the past decade due to the rapid progress in video recording, computation, and communication technologies. However, most of the existing methods analyze the video in an off-line manner, which greatly reduces the flexibility of the system. On-line summarization, which can progressively process video during video recording, is then proposed for a wide range of applications. In this paper, an on-line summarization method using Gaussian mixture model is proposed. As shown in the experiments, the proposed method outperforms other on-line methods in both summarization quality and computational efficiency. It can generate summarization with a shorter latency and much lower computation resource requirements.

原文English
主出版物標題2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1260-1264
頁數5
ISBN(列印)9781479928927
DOIs
出版狀態Published - 1 1月 2014
事件2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
持續時間: 4 5月 20149 5月 2014

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(列印)1520-6149

Conference

Conference2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
國家/地區Italy
城市Florence
期間4/05/149/05/14

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