Tracking Large-Scale Video Remix in Real-World Events

Simple item page
dc.contributor.authorXie, Lexing
dc.contributor.authorNatsev, Apostol
dc.contributor.authorHe, Xuming
dc.contributor.authorKender, John R
dc.contributor.authorHill, Matthew L.
dc.contributor.authorSmith, John R
dc.date.accessioned2015-12-13T22:30:32Z
dc.date.issued2013
dc.date.updated2016-02-24T09:24:14Z
dc.description.abstractContent sharing networks, such as YouTube, contain traces of both explicit online interactions (such as likes, comments, or subscriptions), as well as latent interactions (such as quoting, or remixing, parts of a video). We propose visual memes, or freque
dc.identifier.issn1520-9210
dc.identifier.urihttp://hdl.handle.net/1885/74888
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Multimedia
dc.subjectKeywords: Detection algorithm; Image database; On-line interactions; Predictive models; Quantitative evaluation; Statistical modeling; Video interactions; YouTube; Multimedia systems; Signal processing; Social networking (online); Forecasting Image databases; social networks; YouTube
dc.titleTracking Large-Scale Video Remix in Real-World Events
dc.typeJournal article
local.bibliographicCitation.issue6
local.bibliographicCitation.lastpage1254
local.bibliographicCitation.startpage1244
local.contributor.affiliationXie, Lexing, College of Engineering and Computer Science, ANU
local.contributor.affiliationNatsev, Apostol, Google
local.contributor.affiliationHe, Xuming, College of Engineering and Computer Science, ANU
local.contributor.affiliationKender, John R, Columbia University
local.contributor.affiliationHill, Matthew L., IBM
local.contributor.affiliationSmith, John R, IBM
local.contributor.authoruidXie, Lexing, u4983843
local.contributor.authoruidHe, Xuming, u4981609
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080104 - Computer Vision
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationf5625xPUB4357
local.identifier.citationvolume15
local.identifier.doi10.1109/TMM.2013.2264929
local.identifier.scopusID2-s2.0-84884547569
local.identifier.thomsonID000324765400003
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Xie_Tracking_Large-Scale_Video_2013.pdf
Size:
1.47 MB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS