A comprehensive study on mid-level representation and ensemble learning for emotional analysis of video material

Acar, E., Hopfgartner, F. orcid.org/0000-0003-0380-6088 and Albayrak, S. (2017) A comprehensive study on mid-level representation and ensemble learning for emotional analysis of video material. Multimedia Tools and Applications, 76 (9). pp. 11809-11837. ISSN 1380-7501

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © Springer Science+Business Media New York 2016.
Keywords: Video affective content analysis; Ensemble learning; Deep learning; MFCC; Color; Dense trajectories; SentiBank
Dates:
  • Accepted: 12 May 2016
  • Published (online): 10 June 2016
  • Published: May 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 10 Oct 2018 13:39
Last Modified: 10 Oct 2018 14:02
Published Version: https://doi.org/10.1007/s11042-016-3618-5
Status: Published
Publisher: Springer Verlag
Refereed: Yes
Identification Number: https://doi.org/10.1007/s11042-016-3618-5

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