CMU Informedia@TRECVID 2015 MED

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CMUInformediaA.pdf (162.03 KB)

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https://www-nlpir.nist.gov/projects/tvpubs/tv15.papers/cmu.pdf

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http://hdl.handle.net/11603/37745

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UMBC Computer Science and Electrical Engineering Department

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Author/Creator ORCID

https://orcid.org/0000-0002-0623-599X

Date

2015

Type of Work

reports
Text

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Program

Citation of Original Publication

Yu, 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.

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This 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.
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Abstract

We 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.