CMU Informedia@TRECVID 2015 MED

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dc.contributor.authorYu, Shoou-I.
dc.contributor.authorJiang, Lu
dc.contributor.authorXu, Zhongwen
dc.contributor.authorLan, Zhenzhong
dc.contributor.authorXu, Shicheng
dc.contributor.authorChang, Xiaojun
dc.contributor.authorLi, Xuanchong
dc.contributor.authorMao, Zexi
dc.contributor.authorGan, Chuang
dc.contributor.authorMiao, Yajie
dc.contributor.authorDu, Xingzhong
dc.contributor.authorCai, Yang
dc.contributor.authorMartin, Lara J.
dc.contributor.authorWolfe, Nikolas
dc.contributor.authorLi, Huan
dc.contributor.authorLin, Ming
dc.contributor.authorMa, Zhigang
dc.contributor.authorYang, Yi
dc.contributor.authorMeng, Deyu
dc.contributor.authorShan, Shiguang
dc.contributor.authorDuygulu, Pinar
dc.contributor.authorBurger, Susanne
dc.contributor.authorMetze, Florian
dc.contributor.authorSingh, Rita
dc.contributor.authorRaj, Bhiksha
dc.contributor.authorMitamura, Teruko
dc.contributor.authorStern, Richard
dc.contributor.authorHauptmann, Alexander
dc.date.accessioned2025-03-11T14:42:32Z
dc.date.available2025-03-11T14:42:32Z
dc.date.issued2015
dc.description.abstractWe report on our system used in the TRECVID 2015 Multimedia Event Detection (MED) task. On the MED task, the CMU team submitted runs in the Semantic Query (SQ) and 10Ex settings. The proposed system is essentially the same as our MED 2014 system.
dc.description.sponsorshipThis work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number OCI-1053575. Specifically, it used the Blacklight system at the Pittsburgh Supercomputing Center (PSC). This work was supported in part by the US Department of Defense, U. S. Army Research Office (W911NF-13-1-0277) and by the National Science Foundation under Grant No. IIS-1251187. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of ARO, the National Science Foundation or the U.S. Government.
dc.description.urihttps://www-nlpir.nist.gov/projects/tvpubs/tv15.papers/cmu.pdf
dc.format.extent3 pages
dc.genrereports
dc.identifierdoi:10.13016/m2ffqm-ok2m
dc.identifier.citationYu, Shoou-I, Lu Jiang, Zhongwen Xu, Zhenzhong Lan, Shicheng Xu, Xiaojun Chang, Xuanchong Li, et al. "CMU Informedia@TRECVID 2015 MED" 2015. https://www-nlpir.nist.gov/projects/tvpubs/tv15.papers/cmu.pdf.
dc.identifier.urihttp://hdl.handle.net/11603/37745
dc.language.isoen_US
dc.publisherNIST
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleCMU Informedia@TRECVID 2015 MED
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-0623-599X

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