A novel framework for frame rate up conversion by predictive variable block-size motion estimated optical flow

Shing Fat TU, Oscar C. AU, Yannan WU, Enming LUO, Chi Ho YEUNG

Research output: Chapter in Book/Report/Conference proceedingChapters

1 Citation (Scopus)

Abstract

This paper proposes a novel framework for frame rate up conversion. The framework contains a motion field estimator employing a hybrid of a novel predictive variable blocksize motion estimation and robust optical flow algorithm. This motion field is more robust and accurate than pure optical flow or pure motion estimation methods. Therefore, in-between frames can be estimated more accurately by the new hybrid method. After the motion field estimation, pixel interpolation following motion field interpolation is done for in-between frames. It is shown the proposed method has better than pure motion estimation and pure optical flow methods in terms of both subjective and objective measurements. Copyright © 2009 IEEE.

Original languageEnglish
Title of host publicationProceedings of the 2009 2nd International Congress on Image and Signal processing
Place of PublicationPiscataway
PublisherIEEE
Pages3221-3225
ISBN (Electronic)9781424441310
ISBN (Print)9781424441297
DOIs
Publication statusPublished - 2009

Citation

Tu, S.-F., Au, O. C., Wu, Y., Luo, E., & Yeung, C.-H. (2009). A novel framework for frame rate up conversion by predictive variable block-size motion estimated optical flow. In Proceedings of the 2009 2nd International Congress on Image and Signal processing (pp. 3221-3225). Piscataway: IEEE.

Keywords

  • Motion estimation
  • Image motion analysis
  • Interpolation
  • Robustness
  • Video sequences
  • Optical films
  • Optical network units
  • Equations
  • Displays
  • Gold

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