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Understand Instant Video Clip Sharing on Mobile Platforms: Twitter's Vine as a Case Study

Authors:

Lei Zhang,

Feng Wang,

Jiangchuan LiuAuthors Info & Claims

NOSSDAV '14: Proceedings of Network and Operating System Support on Digital Audio and Video Workshop

Pages 85 - 90

https://doi.org/10.1145/2597176.2578278

Published: 19 March 2014 Publication History

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Abstract

With the rapidly development of mobile networking and end-terminals, anytime and anywhere data access become readily available nowadays. Given the crowdsourced content capturing and sharing, the preferred length becomes shorter and shorter, even for such multimedia content as video. A representative is Twitter's Vine service, which, available exclusively to mobile users, enables them to create ultra-short video clips, and instantly post and share them with their followers. In this paper, we present an initial study on this new generation of instant video clip sharing service over mobile platforms, taking Vine as a case. We closely investigate the architecture of Vine, and reveal how its service is empowered with a combination of advanced mobile and cloud computing platforms. Through a dataset of over 50, 000 video clips and over 1, 000, 000 user profiles, which is available online for academic use, we examine the unique viewing behaviors of Vine uses, particularly batch viewing and passive viewing. We further analyze the video lifetime and propagation patterns in this new service, as well as the distinct social relations therein. Our study lead to critical observations that would help with improving the energy-efficiency and scalability of Vine-like services.

References

[1]

M. Cha, H. Haddadi, F. Benevenuto, and P. K. Gummadi. Measuring user influence in twitter: The million follower fallacy. ICWSM, 10:10--17, 2010.

Crossref

Google Scholar

[2]

M. Cha, H. Kwak, P. Rodriguez, Y.-Y. Ahn, and S. Moon. I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system. In Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, pages 1--14. ACM, 2007.

Digital Library

Google Scholar

[3]

X. Cheng, C. Dale, and J. Liu. Statistics and social network of youtube videos. In Quality of Service, 2008. IWQoS 2008. 16th International Workshop on, pages 229--238. IEEE, 2008.

Crossref

Google Scholar

[4]

P. Jain, J. Manweiler, A. Achary, and K. Beaty. Focus: clustering crowdsourced videos by line-of-sight. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, page 63. ACM, 2013.

Digital Library

Google Scholar

[5]

A. Java, X. Song, T. Finin, and B. Tseng. Why we twitter: understanding microblogging usage and communities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, pages 56--65. ACM, 2007.

Digital Library

Google Scholar

[6]

H. Kwak, C. Lee, H. Park, and S. Moon. What is twitter, a social network or a news media? In Proceedings of the 19th international conference on World wide web, pages 591--600. ACM, 2010.

Digital Library

Google Scholar

[7]

T. Rodrigues, F. Benevenuto, M. Cha, K. Gummadi, and V. Almeida. On word-of-mouth based discovery of the web. In Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference, pages 381--396. ACM, 2011.

Digital Library

Google Scholar

[8]

Y. Zhao, L. Zhang, X. Ma, J. Liu, and H. Jiang. Came: cloud-assisted motion estimation for mobile video compression and transmission. In Proceedings of the 22nd international workshop on Network and Operating System Support for Digital Audio and Video, pages 95--100. ACM, 2012.

Digital Library

Google Scholar

[9]

R. Zhou, S. Khemmarat, and L. Gao. The impact of youtube recommendation system on video views. In Proceedings of the 10th ACM SIGCOMM conference on Internet measurement, pages 404--410. ACM, 2010.

Digital Library

Google Scholar

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Understand Instant Video Clip Sharing on Mobile Platforms: Twitter's Vine as a Case Study

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Published In

NOSSDAV '14: Proceedings of Network and Operating System Support on Digital Audio and Video Workshop

March 2014

125 pages

ISBN:9781450327060

DOI:10.1145/2597176

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 19 March 2014

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MMSys '14

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SIGMM

MMSys '14: Multimedia Systems Conference 2014

March 19 - 21, 2014

Singapore, Singapore

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NOSSDAV '14 Paper Acceptance Rate 18 of 56 submissions, 32%;

Overall Acceptance Rate 118 of 363 submissions, 33%

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https://dl.acm.org/doi/10.1145/3613904.3642138
Wei DZhang JLi HXue ZPeng YHan R(2024)Multipath Smart Preloading Algorithms in Short Video Peer-to-Peer CDN Transmission ArchitectureIEEE Network10.1109/MNET.2023.332152638:3(285-291)Online publication date: May-2024
https://doi.org/10.1109/MNET.2023.3321526
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https://dl.acm.org/doi/10.1145/3503161.3551590
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