• DocumentCode
    3071542
  • Title

    Enhanced Pixel-Based Video Frame Interpolation Algorithms

  • Author

    Youssef, Belgacem Ben ; Bizzocchi, Jim

  • Author_Institution
    Simon Eraser Univ., Surrey
  • fYear
    2007
  • fDate
    15-18 Dec. 2007
  • Firstpage
    23
  • Lastpage
    28
  • Abstract
    In this paper, we compare three motion compensated interpolation (MCI) algorithms: adjacent-frame motion compensated interpolation (AFI), wide-span motion compensated interpolation (WS-TH), and wide-span motion compensated interpolation with spatial hinting (WS-TH+SH). The latter represents an extension to WS-TH by adding spatial hinting to the generation of motion vectors. The methods are quantitatively compared with the objective of optimizing interpolated frame quality relative to control interpolated frames. This is important because for high-resolution large flat-panel displays, frame transition coherence becomes a critical factor in assessing the quality of the user´s viewing experience. To enhance MCI, the encoder should attempt to exploit long-term statistical dependencies, precisely estimate motion by modeling the motion vector field, and superimpose efficient prediction/interpolation algorithms. Computer simulations using artificially generated video sequences demonstrate the consistent advantage of both WS- TH and WS-TH+SH over AFI under increasingly complex source scenes and chaotic occlusion conditions.
  • Keywords
    flat panel displays; image enhancement; image resolution; image sequences; interpolation; motion compensation; statistical analysis; video signal processing; Enhanced pixel-based video frame interpolation algorithm; adjacent-frame motion compensated interpolation algorithm; artificial video sequences; flat-panel displays; frame transition coherence; interpolated frame quality; motion vector field; statistical dependency; wide-span motion compensated interpolation-spatial hinting algorithm; Coherence; Computer displays; Computer simulation; Interpolation; Layout; Motion estimation; Optimization methods; Prediction algorithms; Predictive models; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2007 IEEE International Symposium on
  • Conference_Location
    Giza
  • Print_ISBN
    978-1-4244-1835-0
  • Electronic_ISBN
    978-1-4244-1835-0
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2007.4458189
  • Filename
    4458189