Communication-efficient multi-view keyframe extraction in distributed video sensors

Shun Hsing Ou, Yu Chen Lu, Jui Pin Wang, Shao Yi Chien, Shou De Lin, Mi Yen Yeti, Chia Han Lee, Phillip B. Gibbons, V. Srinivasa Somayazulu, Yen Kuang Chen

研究成果: Conference contribution同行評審

11 引文 斯高帕斯(Scopus)

摘要

Video sensors are widely used in many applications such as security monitoring and home care. However, the growth of the number of sensors makes it impractical to stream all videos back to a central server for further processing, due to communication bandwidth and server storage constraints. Multi-view video summarization allows us to discard redundant data in the video streams taken by a group of sensors. All prior multi-view summarization methods, however, process video data in an off-line and centralized manner, which means that all videos are still required to be streamed back to the server before conducting the summarization. This paper proposes an on-line, distributed multi-view summarization system, which integrates the ideas of Maximal Marginal Relevance (MMR) and MS-Wave, a bandwidth-efficient distributed algorithm for finding k-nearest-neighbors and k-farthest-neighbors. Empirical studies show that our proposed system can discard redundant videos and keep important keyframes as effectively as centralized approaches, while transmitting only 1/6 to 1/3 as much data.

原文English
主出版物標題2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面13-16
頁數4
ISBN(電子)9781479961399
DOIs
出版狀態Published - 27 2月 2015
事件2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014 - Valletta, Malta
持續時間: 7 12月 201410 12月 2014

出版系列

名字2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014

Conference

Conference2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014
國家/地區Malta
城市Valletta
期間7/12/1410/12/14

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