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Reseach Article

Enhanced Crowd-Sourced Video Sharing System

by Anuradha S. Kadam, Rahul V. Dagade
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 157 - Number 8
Year of Publication: 2017
Authors: Anuradha S. Kadam, Rahul V. Dagade
10.5120/ijca2017912789

Anuradha S. Kadam, Rahul V. Dagade . Enhanced Crowd-Sourced Video Sharing System. International Journal of Computer Applications. 157, 8 ( Jan 2017), 21-24. DOI=10.5120/ijca2017912789

@article{ 10.5120/ijca2017912789,
author = { Anuradha S. Kadam, Rahul V. Dagade },
title = { Enhanced Crowd-Sourced Video Sharing System },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 157 },
number = { 8 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 21-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume157/number8/26851-2017912789/ },
doi = { 10.5120/ijca2017912789 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:03:22.708946+05:30
%A Anuradha S. Kadam
%A Rahul V. Dagade
%T Enhanced Crowd-Sourced Video Sharing System
%J International Journal of Computer Applications
%@ 0975-8887
%V 157
%N 8
%P 21-24
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays video capturing and sharing is common. Consider an event, meeting of Facebook founder and Prime minister of the India. Hundreds of people captured that meet in mobile phones and uploaded it to video sharing applications(VSA) like Twitter, Facebook. Huge amount of the bandwidth and battery is used by this activity of uploading videos of the same event. To overcome this problem existing systems used On-demand retrieval approach here first metadata of the video is uploaded to server. If query from user is matched with metadata stored at the server then video is fetch from smartphone of the user who uploaded the video. On-demand approach proved its effectiveness. Limitation of the approach is its speed due to after query of the user, video is extracted and then given to requester. To overcome this problem and inherit the advantages of the on-demand approach system proposed effective video sharing system for event with objective to reduce overlapping videos and time for fetching video.

References
  1. Seshadri Padmanabha Venkatagiri, Mun Choon Chan, Wei Tsang Ooi, Jia Han Chiam “On Demand Retrieval of Crowdsourced Mobile Video” IEEE sensors journal vol.15,no 5,May 2015.
  2. X. Bao and R. Roy Choudhury, “MoVi: Mobile phone based video highlights via collaborative sensing,” in Proc. 8th Int. Conf. Mobile Syst., Appl., Services (MobiSys), 2010.
  3. http://www.crowdoptic.com
  4. X. Liu, M. Corner, and P. Shenoy, “SEVA: Sensor-enhanced video annotation,” ACM Trans. Multimedia Comput., Commun., Appl., vol. 5, no. 3, Aug. 2009.
  5. S. Greenhill and S. Venkatesh, “Distributed query processing for mobile surveillance,” in Proc. 15th Int. Conf. Multimedia (MM), 2007.
  6. S. A. Ay, R. Zimmermann, and S. Kim, “Relevance ranking in georeferenced video search,” Multimedia Syst., vol. 16, no. 2,2010.
  7. J. Hao, S. H. Kim, S. A. Ay, and R. Zimmermann, “Energy-efficient mobile video management using smartphones,” in Proc. 2nd Annu ACM Conf. Multimedia Syst. (MMSys), 2011.
  8. P. Simoens, Y. Xiao, P. Pillai, Z. Chen, K. Ha, and M. Satyanarayanan, “Scalable crowd-sourcing of video from mobile devices,” in Proc. 11th Annu. Int. Conf. Mobile Syst., Appl., Services (MobiSys), 2013.
  9. P. Jain, J. Manweiler, A. Acharya, and K. Beaty, “FOCUS: Clustering crowdsourced videos by line-of-sight,” in Proc. 11th ACM Conf. Embedded Netw. Sensor Syst. (SenSys), 2013.
  10. N. Snavely, S. M. Seitz, and R. Szeliski, “Modeling the world from internet photo collections,” Int. J. Comput. Vis., vol. 80, no. 2 Nov. 2008
Index Terms

Computer Science
Information Sciences

Keywords

Crowd Source Video Video Sharing Spatio-Temporal Query.