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Retraction Note to: Discovering Graphical Visual Features for Abnormal Semantic Event Detection

  • Fenghua WangEmail author
  • Yuhui Ma
  • Yanjuan Jin
  • Ying Jiang
  • Yunye Wang
Retraction Note
  • 119 Downloads

Retraction Note to: Multimed Tools Appl (2018) 77:3245–3260.

 https://doi.org/10.1007/s11042-017-5057-3

The Editor-in-Chief has retracted this article [3], which was published as part of special issue “Semantic Concept Discovery in MMData”, because the article shows substantial text overlap most notably with the articles cited [1, 2, 4, 5].

The authors have not responded to correspondence about this retraction.

Notes

References

  1. 1.
    Chang X, Ma Z, Lin M et al (2017) Feature interaction augmented sparse learning for fast Kinect motion detection. IEEE Trans Image Process.  https://doi.org/10.1109/TIP.2017.2708506 MathSciNetCrossRefGoogle Scholar
  2. 2.
    Nie X, He D, Chan S et al (2016) Network anomaly detection using unsupervised feature selection and density peak clustering. Lect Notes Comput Sci.  https://doi.org/10.1007/978-3-319-39555-5_12 CrossRefGoogle Scholar
  3. 3.
    Wang F, Ma Y, Jin Y et al (2018) Discovering graphical visual features for abnormal semantic event detection. Multimed Tools Appl 77:3245.  https://doi.org/10.1007/s11042-017-5057-3 CrossRefGoogle Scholar
  4. 4.
    Zhang L, Song M, Li N et al (2009) Feature selection for fast speech emotion recognition. In: Proceedings of the 17th ACM International Conference on Multimedia.  https://doi.org/10.1145/1631272.1631405 CrossRefGoogle Scholar
  5. 5.
    Zhang L, Tao D, Liu X et al (2013) Grassmann multimodal implicit feature selection. Multimedia Systems.  https://doi.org/10.1007/s00530-013-0317-1 CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Fenghua Wang
    • 1
    Email author
  • Yuhui Ma
    • 1
  • Yanjuan Jin
    • 2
  • Ying Jiang
    • 1
  • Yunye Wang
    • 1
  1. 1.State Grid Zhejiang Electric Power Company Information & Telecommunication BranchHangzhouChina
  2. 2.Hangzhou Dayou Science and Technology Development Co., Ltd.HangzhouChina

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