Hot event detection and summarization by graph modeling and matching

Hot event detection and summarization by graph modeling and matching

This paper proposes a new approach for hot event detection and summarization of news videos. The approach is mainly based on two graph algorithms: optimal matching (OM) and normalized cut (NC). Initially, OM is employed to measure the visual similarity between all pairs of events under the one-to-on...

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Bibliographic Details
Main Authors: PENG, Yuxin, NGO, Chong-Wah
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2005
Subjects:
News videos
optimal matching
algorithms
Databases and Information Systems
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/6620
https://ink.library.smu.edu.sg/context/sis_research/article/7623/viewcontent/LNCS_3568___Image_and_Video_Retrieval.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/6620
https://ink.library.smu.edu.sg/context/sis_research/article/7623/viewcontent/LNCS_3568___Image_and_Video_Retrieval.pdf

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