http://repository.vnu.edu.vn/handle/VNU_123/32292
In the age of data processing, news videos are rich mines of information.
After all, the news are essentially created to convey information to the public.
But can we go beyond what is directly presented to us and see a wider picture?
Many works already focus on what we can discover and understand from the analysis of years of news broadcasting.
These analysis bring monitoring and understanding of the activity of public figures, political strategies, explanation and even prediction of critical media events.
Such tools can help public figures in managing their public image, as well as support the work of journalists, social scientists and other media experts.
News analysis can be also seen from the lens of complex systems, gathering many types of entities, attributes and interactions over time.
As many public figures intervene in different news stories, a first interesting task is to observe the social interactions between these actors.
Towards this goal, we propose to use video analysis to automatise the process of constructing social networks directly from news video archives.
In this paper we are introducing a system deriving multiple social networks from face detections in news video.
We present preliminary results obtained from analysis of these networks monitoring of the activity of more than a hundred public figures over a decade of the NHK news archives.
In the age of data processing, news videos are rich mines of information.
After all, the news are essentially created to convey information to the public.
But can we go beyond what is directly presented to us and see a wider picture?
Many works already focus on what we can discover and understand from the analysis of years of news broadcasting.
These analysis bring monitoring and understanding of the activity of public figures, political strategies, explanation and even prediction of critical media events.
Such tools can help public figures in managing their public image, as well as support the work of journalists, social scientists and other media experts.
News analysis can be also seen from the lens of complex systems, gathering many types of entities, attributes and interactions over time.
As many public figures intervene in different news stories, a first interesting task is to observe the social interactions between these actors.
Towards this goal, we propose to use video analysis to automatise the process of constructing social networks directly from news video archives.
In this paper we are introducing a system deriving multiple social networks from face detections in news video.
We present preliminary results obtained from analysis of these networks monitoring of the activity of more than a hundred public figures over a decade of the NHK news archives.
| Title: | A Social Network Analysis of Face Tracking in News Video |
| Authors: | Renoust, B. Ngo, T.D. Le, D.D. Satoh, S. |
| Keywords: | complex networks Dynamic face detection and tracking Japan multiplex politics Social networks |
| Issue Date: | 2016 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Scopus |
| Abstract: | In the age of data processing, news videos are rich mines of information. After all, the news are essentially created to convey information to the public. But can we go beyond what is directly presented to us and see a wider picture? Many works already focus on what we can discover and understand from the analysis of years of news broadcasting. These analysis bring monitoring and understanding of the activity of public figures, political strategies, explanation and even prediction of critical media events. Such tools can help public figures in managing their public image, as well as support the work of journalists, social scientists and other media experts. News analysis can be also seen from the lens of complex systems, gathering many types of entities, attributes and interactions over time. As many public figures intervene in different news stories, a first interesting task is to observe the social interactions between these actors. Towards this goal, we propose to use video analysis to automatise the process of constructing social networks directly from news video archives. In this paper we are introducing a system deriving multiple social networks from face detections in news video. We present preliminary results obtained from analysis of these networks monitoring of the activity of more than a hundred public figures over a decade of the NHK news archives. |
| Description: | Proceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015 5 February 2016, Article number 7400605, Pages 474-481 |
| URI: | http://ieeexplore.ieee.org/document/7400605/ http://repository.vnu.edu.vn/handle/VNU_123/32292 |
| ISBN: | 978-146739721-6 |
| Appears in Collections: | Bài báo của ĐHQGHN trong Scopus |
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