On guiding video object segmentation

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  • Additional Information
    • Publication Information:
      IEEE
    • Publication Date:
      2019
    • Abstract:
      This paper presents a novel approach for segmenting moving objects in unconstrained environments using guided convolutional neural networks. This guiding process relies on foreground masks from independent algorithms (i.e. state-of-the-art algorithms) to implement an attention mechanism that incorporates the spatial location of foreground and background to compute their separated representations. Our approach initially extracts two kinds of features for each frame using colour and optical flow information. Such features are combined following a multiplicative scheme to benefit from their complementarity. These unified colour and motion features are later processed to obtain the separated foreground and background representations. Then, both independent representations are concatenated and decoded to perform foreground segmentation. Experiments conducted on the challenging DAVIS 2016 dataset demonstrate that our guided representations not only outperform non-guided, but also recent and top-performing video object segmentation algorithms.
    • Contents Note:
      Conference Acronym: CBMI
    • Author Affiliations:
      Insight Centre for Data Analytics, Dublin City University (DCU), Dublin, Ireland
      VPULab, Universidad Autónoma de Madrid (UAM), Madrid, Spain
    • ISBN:
      978-1-7281-4673-7
      978-1-7281-4672-0
    • ISSN:
      1949-3991
    • Relation:
      2019 International Conference on Content-Based Multimedia Indexing (CBMI)
    • Accession Number:
      10.1109/CBMI.2019.8877438
    • Rights:
      Copyright 2019, IEEE
    • AMSID:
      8877438
    • Conference Acronym:
      CBMI
    • Date of Current Version:
      2019
    • Document Subtype:
      IEEE Conference
    • Notes:
      Conference Location: Dublin, Ireland, Ireland

      Conference Start Date: 4 Sept. 2019

      Conference End Date: 6 Sept. 2019
    • Accession Number:
      edseee.8877438
  • Citations
    • ABNT:
      ORTEGO, D. et al. On guiding video object segmentation. 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Content-Based Multimedia Indexing (CBMI), 2019 International Conference on, [s. l.], p. 1–6, 2019. DOI 10.1109/CBMI.2019.8877438. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.8877438. Acesso em: 30 set. 2020.
    • AMA:
      Ortego D, McGuinness K, SanMiguel JC, Arazo E, Martinez JM, O’Connor NE. On guiding video object segmentation. 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Content-Based Multimedia Indexing (CBMI), 2019 International Conference on. September 2019:1-6. doi:10.1109/CBMI.2019.8877438
    • APA:
      Ortego, D., McGuinness, K., SanMiguel, J. C., Arazo, E., Martinez, J. M., & O’Connor, N. E. (2019). On guiding video object segmentation. 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Content-Based Multimedia Indexing (CBMI), 2019 International Conference On, 1–6. https://doi.org/10.1109/CBMI.2019.8877438
    • Chicago/Turabian: Author-Date:
      Ortego, Diego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, Jose M. Martinez, and Noel E. O’Connor. 2019. “On Guiding Video Object Segmentation.” 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Content-Based Multimedia Indexing (CBMI), 2019 International Conference On, September, 1–6. doi:10.1109/CBMI.2019.8877438.
    • Harvard:
      Ortego, D. et al. (2019) ‘On guiding video object segmentation’, 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Content-Based Multimedia Indexing (CBMI), 2019 International Conference on, pp. 1–6. doi: 10.1109/CBMI.2019.8877438.
    • Harvard: Australian:
      Ortego, D, McGuinness, K, SanMiguel, JC, Arazo, E, Martinez, JM & O’Connor, NE 2019, ‘On guiding video object segmentation’, 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Content-Based Multimedia Indexing (CBMI), 2019 International Conference on, pp. 1–6, viewed 30 September 2020, .
    • MLA:
      Ortego, Diego, et al. “On Guiding Video Object Segmentation.” 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Content-Based Multimedia Indexing (CBMI), 2019 International Conference On, Sept. 2019, pp. 1–6. EBSCOhost, doi:10.1109/CBMI.2019.8877438.
    • Chicago/Turabian: Humanities:
      Ortego, Diego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, Jose M. Martinez, and Noel E. O’Connor. “On Guiding Video Object Segmentation.” 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Content-Based Multimedia Indexing (CBMI), 2019 International Conference On, September 1, 2019, 1–6. doi:10.1109/CBMI.2019.8877438.
    • Vancouver/ICMJE:
      Ortego D, McGuinness K, SanMiguel JC, Arazo E, Martinez JM, O’Connor NE. On guiding video object segmentation. 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Content-Based Multimedia Indexing (CBMI), 2019 International Conference on [Internet]. 2019 Sep 1 [cited 2020 Sep 30];1–6. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.8877438