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Fusing motion patterns and key visual information for semantic event recognition in basketball videos.

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Bibliographic Details
Title: Fusing motion patterns and key visual information for semantic event recognition in basketball videos.
Authors: Wu, Lifang1,2, Yang, Zhou1, Wang, Qi1, Jian, Meng1,2, mjian@bjut.edu.cn, Zhao, Boxuan1, Yan, Junchi3, Chen, Chang Wen4,5
Source: Neurocomputing; Nov2020, Vol. 413, p217-229, 13p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 146412836
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Fusing motion patterns and key visual information for semantic event recognition in basketball videos.
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  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>; Nov2020, Vol. 413, p217-229, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=146412836
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.neucom.2020.07.003
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      – Code: eng
        Text: English
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        StartPage: 217
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      – TitleFull: Fusing motion patterns and key visual information for semantic event recognition in basketball videos.
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            NameFull: Yang, Zhou
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              M: 11
              Text: Nov2020
              Type: published
              Y: 2020
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