• DocumentCode
    1669218
  • Title

    RGB-D video content identification

  • Author

    Honghai Yu ; Moulin, Philippe ; Roy, Sandip

  • Author_Institution
    ECE Dept., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2013
  • Firstpage
    3776
  • Lastpage
    3780
  • Abstract
    This paper proposes the first content identification (ID) system for depth video as well as a first hybrid content ID system for synchronized RGB and depth (RGB-D) video. The proposed systems are tested on a public RGB-D dataset. The hybrid system demonstrates significant performance gains over RGB-alone or depth-alone systems, while depth and RGB perform comparably. Moreover, a statistical interpretation of the hybrid system´s superior performance is provided.
  • Keywords
    image colour analysis; video retrieval; video signal processing; RGB-D video content identification; content ID system; depth RGB-D video synchronization; hybrid system; public RGB-D dataset; Computer vision; Conferences; Correlation; Databases; Decoding; Feature extraction; Robustness; Content identification; Kinect camera; depth video; fingerprinting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638364
  • Filename
    6638364