NexGen-TV: Providing real-time insight during political debates in a second screen application

Ben Ahmed, Olfa; Sargent, Gabriel; Garnier, Florian; Huet, Benoit; Claveau, Vincent; Couturier, Laurence; Troncy, Raphaël; Gravier, Guillaume; Bouzy, Philémon; Leménorel, Fabrice
ACMMM 2017, 25th ACM International Conference on Multimedia, Demo Track, October 23-27, 2017, Moutain View, California, USA

Best Demo Award

Second screen applications are becoming key for broadcasters exploiting the convergence of TV and Internet. Authoring such applications however remains costly. In this paper, we present a second screen authoring application that leverages multimedia content analytics and social media monitoring. A back-office is dedicated to easy and fast content ingestion, segmentation, description and enrichment with links to entities and related content. From the back-end, broadcasters can push enriched content to front-end applications providing customers with highlights, entity and content links, overviews of social network, etc. The demonstration operates on political debates ingested during the 2017 French presidential election, enabling insights on the debates.


DOI
HAL
Type:
Poster / Demo
City:
Moutain View
Date:
2017-10-23
Department:
Data Science
Eurecom Ref:
5306
Copyright:
© ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACMMM 2017, 25th ACM International Conference on Multimedia, Demo Track, October 23-27, 2017, Moutain View, California, USA http://dx.doi.org/10.1145/3123266.3127929

PERMALINK : https://www.eurecom.fr/publication/5306