Toward Multiscreen Social TV with Geolocation-Aware Social Sense

被引:33
作者
Hu, Han [1 ]
Wen, Yonggang [2 ]
Luan, Huanbo [1 ]
Chua, Tat-Seng [1 ]
Li, Xuelong [3 ,4 ]
机构
[1] Natl Univ Singapore, Sch Comp, Singapore 117548, Singapore
[2] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
[3] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Beijing 100864, Peoples R China
[4] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt Imagery Anal & Learning, State Key Lab Transient Opt & Photon, Beijing 100864, Peoples R China
基金
新加坡国家研究基金会; 中国国家自然科学基金;
关键词
cloud computing; interactive TV; multimedia; social media analysis; social sense; social TV;
D O I
10.1109/MMUL.2014.2
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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. © 2014 IEEE.
引用
收藏
页码:10 / 19
页数:10
相关论文
共 13 条
[1]  
[Anonymous], 2013, 2013 IEEE INT C MULT, DOI DOI 10.1109/ICME.2013.6607582
[2]  
Cesar P., 2011, 2011 IEEE Consumer Communications and Networking Conference (CCNC 2011), P347, DOI 10.1109/CCNC.2011.5766487
[3]  
Chen Y, 2013, SIGIR'13: THE PROCEEDINGS OF THE 36TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH & DEVELOPMENT IN INFORMATION RETRIEVAL, P43
[4]  
Gao Y., 2010, Proceedings of the international conference on Multimedia, P123
[5]  
Gao Y, 2013, IEEE T IMAGE PROCESS, V22
[6]  
Google Ipsos and Sterling, 2012, NEW MULT WORLD UND C
[7]   Location Discriminative Vocabulary Coding for Mobile Landmark Search [J].
Ji, Rongrong ;
Duan, Ling-Yu ;
Chen, Jie ;
Yao, Hongxun ;
Yuan, Junsong ;
Rui, Yong ;
Gao, Wen .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2012, 96 (03) :290-314
[8]   Learning to Distribute Vocabulary Indexing for Scalable Visual Search [J].
Ji, Rongrong ;
Duan, Ling-Yu ;
Chen, Jie ;
Xie, Lexing ;
Yao, Hongxun ;
Gao, Wen .
IEEE TRANSACTIONS ON MULTIMEDIA, 2013, 15 (01) :153-166
[9]   Task-Dependent Visual-Codebook Compression [J].
Ji, Rongrong ;
Yao, Hongxun ;
Liu, Wei ;
Sun, Xiaoshuai ;
Tian, Qi .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 21 (04) :2282-2293
[10]  
Jin YC, 2013, IEEE GLOB COMM CONF, P1747, DOI 10.1109/GLOCOM.2013.6831326