• DocumentCode
    2243200
  • Title

    Automatic insertion of advertisements into a video sequence

  • Author

    Chen, Wei ; Yeh, Jeng-sheng ; Chia, Tsorng-lin

  • Author_Institution
    Dept. of Comput. & Commun. Eng., Ming Chuan Univ., Taoyuan, Taiwan
  • Volume
    4
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    2121
  • Lastpage
    2126
  • Abstract
    This paper proposes a method for seamlessly inserting virtual advertisements into a video sequence. The algorithm is based on projective geometric invariant for feature tracking that predicts the feature´s location at the next frame under perspective projection. The cross-ratio of points that extracted in pervious frames will provide the geometric constraint to predict the feature position in the frame even the feature is lost in some frames. The candidate regions for an advertising image in the video sequence are automatically determined by its structure and robustness. The experimental results demonstrate that the proposed method is effective and easy to insert advertisements into the video sequence.
  • Keywords
    advertising data processing; geometry; image sequences; video signal processing; feature tracking; geometric constraint; projective geometric invariant; video sequence; virtual advertisement; Cameras; Feature extraction; Kalman filters; TV; Tracking; Trajectory; Video sequences; Advertisement inserting; Cross ratio; Feature tracking; Region detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580493
  • Filename
    5580493