Visual attention-based comparative study on disaster detection from social media images-Reference-Cited by-同舟云学术

Visual attention-based comparative study on disaster detection from social media images

Published:2020-07-28 Issue:3-4 Volume:16 Page:309-319
ISSN:1614-5046
Container-title:Innovations in Systems and Software Engineering
language:en
Short-container-title:Innovations Syst Softw Eng

Author:

Arif ,Amin M. Ashraful,Ali Amin Ahsan,Rahman A. K. M. Mahhubur^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Software

Link

https://link.springer.com/content/pdf/10.1007/s11334-020-00368-1.pdf

Reference22 articles.

1. Ahmad K, Conci N, Natale F (2018) A comparative study of global and deep features for the analysis of user-generated natural disaster related images (accepted for presentation in IVMSP 2018)

2. Al Jazeera ZHC, Media Network, aljazeera. In: viewed 20 Jun 2019. https://www.aljazeera.com/indepth/inpictures/pictures-bangladesh-front-lines-climate-crisis-191203102447517.html

3. Alam F, Imran M, Ofli F (2017) Image4act: online social media image processing for disaster response. In: Proceedings of the 2017 IEEE/ACM international conference on advances in social networks analysis and mining 2017, ASONAM ’17. Association for Computing Machinery, New York, NY, USA, pp 601–604. https://doi.org/10.1145/3110025.3110164

4. Amin MA, Mohammed MK (2015) Overview of the imageclef 2015 medical clustering task. In: CLEF

5. Anam M (1991) The daily star. In: viewed 20 Jun 2019. https://www.thedailystar.net/

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