• DocumentCode
    3177687
  • Title

    Spatio temporal key-point detection and video representation in 3D complex wavelet domain

  • Author

    Lakshmi, A. ; Rakshit, Subrata

  • Author_Institution
    Centre for Artificial Intell. & Robot., DRDO, Bangalore, India
  • fYear
    2012
  • fDate
    22-25 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Technology advances in information technology has been evolving for a long time. With this, the need for effective retrieval of video data has increased manifold. In this paper, we propose spatio temporal key-point based approach for content based video retrieval (CBVR). The proposed framework characterizes videos based on spatio temporal key-points. Most of the existing approaches extract key-points from static video frames, while little work has been done on spatio-temporal key-points. We present a new spatio temporal key-point detector and descriptor using 3D complex wavelet transform. Detected key-points are converted to spatio temporal features to represent videos. Results of empirical analysis are provided to substantiate the retrieving capability of the proposed framework.
  • Keywords
    content-based retrieval; feature extraction; stereo image processing; video signal processing; wavelet transforms; 3D complex wavelet domain; 3D complex wavelet transform; content based video retrieval; information technology; spatio temporal key-point detection; static video frames; video data retrieval; video representation; Accuracy; Discrete wavelet transforms; Feature extraction; Indexing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications (SPCOM), 2012 International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4673-2013-9
  • Type

    conf

  • DOI
    10.1109/SPCOM.2012.6290008
  • Filename
    6290008