• DocumentCode
    2704811
  • Title

    Tempo-based MTV-Style Home Video Authoring

  • Author

    Lee, Shih-Hung ; Wang, Shen-Zheng ; Kuo, C. C Jay

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA
  • fYear
    2005
  • fDate
    Oct. 30 2005-Nov. 2 2005
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Automatic authoring of MTV-style home video using visual and music tempo analysis is studied in this work. In the proposed system, the input home video is first segmented into shots by low level features such as the color histogram difference. Then, three types of tempo analysis are conducted; namely, music, global visual (the frame level) and local visual (the facial expression level) tempo analysis. For local visual tempo analysis, we propose a scheme to compute the facial tension from a sequence of facial appearance variation. Finally, the authoring methodology is presented, which consists of music and visual tempo matching to product MTV-style video. Experiments are conducted using baby home video with encouraging results obtained
  • Keywords
    face recognition; image matching; image segmentation; music; video signal processing; MTV-style home video; automatic authoring; home video segmentation; music tempo analysis; visual analysis; visual tempo matching; Algorithm design and analysis; Computer science; Face detection; Histograms; Home computing; Humans; Layout; Pediatrics; Performance evaluation; Video equipment; MTV; home video; tempo analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2005 IEEE 7th Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-9288-4
  • Electronic_ISBN
    0-7803-9289-2
  • Type

    conf

  • DOI
    10.1109/MMSP.2005.248593
  • Filename
    4014014