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Issue No. 03 - July-Sept. (2014 vol. 21)
ISSN: 1070-986X
pp: 10-19
Han Hu , National University of Singapore
Yonggang Wen , Nanyang Technological University, Singapore
Huanbo Luan , National University of Singapore
Tat-Seng Chua , National University of Singapore
Xuelong Li , Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences
The increasing popularity of social interactions and geotagged, user-generated content has transformed the television viewing experience from laid-back video watching behavior into a "lean-forward"' socially engaged experience. This article describes a multiscreen, social TV system integrated with social sense via a second screen as a novel paradigm for content consumption. This new application is built upon the authors' cloud-centric media platform, which provides on-demand virtual machines for content platform services, including media distribution, storage, and processing. The media platform is also integrated with a Big Data social platform that crawls and mines social data related to the media content. Specifically, this new social TV approach consists of three key subsystems: interactive TV, social sense, and multiscreen orchestration. Interactive TV implements a cloud-based, social TV system, offering rich social features; social sense discovers the geolocation-aware public perception and knowledge related to the media content; and multiscreen orchestration provides an intuitive and user-friendly human-computer interface to combine the two other subsystems, fusing the TV viewing experience with social perception. The authors have built a proof-of-concept demo over a private cloud at the Nanyang Technological University (NTU), Singapore. Feature verification and performance comparisons demonstrate the feasibility and effectiveness of the proposed approach in transforming the TV viewing experience.
TV, Media, Cloning, Context, Virtual machining, Performance evaluation, Social network services

H. Hu, Y. Wen, H. Luan, T. Chua and X. Li, "Toward Multiscreen Social TV with Geolocation-Aware Social Sense," in IEEE MultiMedia, vol. 21, no. 3, pp. 10-19, 2014.
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