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Twitter's visual pulse

Twitter's visual pulse
Twitter's visual pulse
Millions of images are tweeted every day, yet very little research has looked at the non-textual aspect of social media communication. In this work we have developed a system to analyse streams of image data. In particular we explore trends in similar, related, evolving or even duplicated visual artefacts in the mass of tweeted image data — in short, we explore the visual pulse of Twitter.
near-duplicate image detection, stream analysis, trend analysis, twitter analysis
978-1-4503-2033-7
297-298
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Samangooei, Sina
c380fb26-55d4-4b34-94e7-c92bbb26a40d
Dupplaw, David
c563ca2b-756a-4d3f-bf99-4f60bb2be1ce
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Hare, Jonathon
65ba2cda-eaaf-4767-a325-cd845504e5a9
Samangooei, Sina
c380fb26-55d4-4b34-94e7-c92bbb26a40d
Dupplaw, David
c563ca2b-756a-4d3f-bf99-4f60bb2be1ce
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020

Hare, Jonathon, Samangooei, Sina, Dupplaw, David and Lewis, Paul H. (2013) Twitter's visual pulse. the 3rd ACM conference on International conference on multimedia retrieval, Dallas, United States. pp. 297-298 . (doi:10.1145/2461466.2461514).

Record type: Conference or Workshop Item (Paper)

Abstract

Millions of images are tweeted every day, yet very little research has looked at the non-textual aspect of social media communication. In this work we have developed a system to analyse streams of image data. In particular we explore trends in similar, related, evolving or even duplicated visual artefacts in the mass of tweeted image data — in short, we explore the visual pulse of Twitter.

Other
10.1145/2470000/2461514/p297-hare.pdf_ip=152.78.130.228&acc=ACTIVE SERVICE&key=C2716FEBFA981EF1810B722F52EEB3EE17D666AEFB31554D&CFID=329716736&CFTOKEN=16643522&__acm__=1368530306_eed898a6abf9e8cf03e057023cadca69 - Accepted Manuscript
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More information

Published date: 16 April 2013
Venue - Dates: the 3rd ACM conference on International conference on multimedia retrieval, Dallas, United States, 2013-04-16
Related URLs:
Keywords: near-duplicate image detection, stream analysis, trend analysis, twitter analysis
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 352460
URI: http://eprints.soton.ac.uk/id/eprint/352460
DOI: doi:10.1145/2461466.2461514
ISBN: 978-1-4503-2033-7
PURE UUID: bbd854ca-4fdb-4987-94fc-6803df8d0aa2
ORCID for Jonathon Hare: ORCID iD orcid.org/0000-0003-2921-4283

Catalogue record

Date deposited: 14 May 2013 11:32
Last modified: 15 Mar 2024 03:25

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Contributors

Author: Jonathon Hare ORCID iD
Author: Sina Samangooei
Author: David Dupplaw
Author: Paul H. Lewis

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