Event geo-localization and tracking from crowd-sourced video metadata-Reference-Cited by-同舟云学术

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Event geo-localization and tracking from crowd-sourced video metadata

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing - ICVGIP '16
language:
Short-container-title:

Author:

More Amit¹,Chaudhuri Subhasis¹

Affiliation:

1. Indian Institute of Technology Bombay, Mumbai, India

Publisher

ACM Press

Reference21 articles.

1. http://developer.android.com.

2. http://www.geovid.org.

3. D. Andersen, J. Dahl, and L. Vandenberghe. Cvxopt: Python software for convex optimization, 2013.

4. C. Arth, A. Mulloni, and D. Schmalstieg. Exploiting sensors on mobile phones to improve wide-area localization. InIEEE Proc. ICPR, pages 2152--2156, 2012.

5. S. Ay, L. Zhang, S. Kim, M. He, and R. Zimmermann. GRVS: A georeferenced video search engine. InACM Proc. Multimedia, pages 977--978, 2009.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Pseudo-likelihood Approach for Geo-localization of Events from Crowd-sourced Sensor-Metadata;ACM Transactions on Multimedia Computing, Communications, and Applications;2019-09-18

2. A Neural Network Based Approach for Geo-Localizing Events in Crowd Sourced Videos;Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing;2018-12-18

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