• DocumentCode
    1902736
  • Title

    Structural Videotext Regions Completion with Temporal-Spatial Consistency

  • Author

    Tsai, Tsung-Han ; Fang, Chih-Lun

  • Author_Institution
    Dept. of Electr. Eng., Nat. Central Univ., Taoyuan
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    256
  • Lastpage
    261
  • Abstract
    With the rapid speed of spreading video content, some videotext exists in the video content. Usually some videotext is the advertisements and it is not needed for some people. Most video completion methods deal with the object removing or broken regions occurring when the object is undesired or original video is broken. But few methods can handle the completion of the original region occupied by motion videotext well since the complex background of motion videotext. Most existing algorithm took a lot computation time for video completion. However, the completed region should be generated as soon as possible based on the real-time consideration. In this paper, we propose a fast and regular structural videotext region completion method to recover the original structural region occupied by the scrolling videotexts. We utilize the characteristic of the canny edge map of frames to form structural edge in the occupied region with temporal consistency. The spatial texture region completion is carried out by our proposed video gradient interpolation approach. We have completed the whole system and the experimental results show that all of the horizontal and vertical scrolling videotexts can be completed well.
  • Keywords
    image motion analysis; image texture; interpolation; video signal processing; canny edge map; motion videotext; scrolling videotexts; spatial texture region completion; structural videotext; temporal-spatial consistency; video content; video gradient interpolation approach; Computer networks; Genetic algorithms; Humans; Interpolation; Layout; Pervasive computing; Text recognition; Video sequences; Videoconference; Voting; Video completion; edge completion; spatial-temporal consistency; videotext removal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Networks, Ubiquitous and Trustworthy Computing, 2008. SUTC '08. IEEE International Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-0-7695-3158-8
  • Electronic_ISBN
    978-0-7695-3158-8
  • Type

    conf

  • DOI
    10.1109/SUTC.2008.45
  • Filename
    4545765