• DocumentCode
    2952551
  • Title

    A Codeword Visualization Tool for Dense Trajectory Feature

  • Author

    Phan, Sang ; Lam, Vu ; Tran, Son ; Ngo, Thanh Duc ; Le, Duy-Dinh ; Satoh, Shin Ichi

  • Author_Institution
    Univ. of Sci., Ho Chi Minh City, Vietnam
  • fYear
    2012
  • fDate
    9-13 July 2012
  • Firstpage
    672
  • Lastpage
    672
  • Abstract
    Bag of Words model is one of the most popular approaches to various classification tasks. Visualizing code words can help us deeply understand the discriminative power of each feature in the model. In practice, it is difficult to visualize code words, especially in case of motion feature because the codebook size is often very large. In this demo, we introduce a codeword visualization tool for the dense trajectory motion feature. Our visualization software is based on user´s interest points, where the end user can select a specific codeword and see how that codeword appears in the video dataset.
  • Keywords
    data visualisation; image classification; image motion analysis; video signal processing; bag of words model; codebook size; codeword visualization tool; dense trajectory motion feature; users interest points; video dataset; visualization software; Computational modeling; Conferences; Data visualization; Head; Tracking; Trajectory; Visualization; bag-of-words; trajectory; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo Workshops (ICMEW), 2012 IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-2027-6
  • Type

    conf

  • DOI
    10.1109/ICMEW.2012.128
  • Filename
    6266506