Frame-rate conversion using hybrid-searchbased motion estimation and adaptive motion-compensated interpolation

Young Duk Kim, Joonyoung Chang, Gun Shik Shin, Moon Gi Kang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We propose a frame-rate conversion algorithm using hybridsearch-based motion estimation (ME) and adaptive motioncompensated interpolation (MCI). The ME method uses three search strategies: recursive search, three-step search with predictions, and single predicted search. One of them, which is best suited for the predicted motion type, is adaptively performed on a block basis. This adaptation process improves the accuracy of the estimated motion vectors without increasing the computational load. With the estimated motion vectors, the proposed MCI method reconstructs high-quality frames, without producing block artifacts, by considering multiple motion trajectories. The method utilizes pixel smoothness constraints besides motionvector reliability when creating and combining the multiple motioncompensated results to remove block artifacts in regions with unreliable motion vectors. Experimental results show that the proposed ME method produces reliable motion vectors that are closer to true motions. Also, the proposed MCI method achieves better image quality than existing algorithms.

Original languageEnglish
Article number097002
JournalOptical Engineering
Volume47
Issue number9
DOIs
Publication statusPublished - 2008 Dec 1

Fingerprint

Motion estimation
interpolation
Interpolation
Image quality
Pixels
Trajectories
artifacts
pixels
trajectories

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Cite this

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title = "Frame-rate conversion using hybrid-searchbased motion estimation and adaptive motion-compensated interpolation",
abstract = "We propose a frame-rate conversion algorithm using hybridsearch-based motion estimation (ME) and adaptive motioncompensated interpolation (MCI). The ME method uses three search strategies: recursive search, three-step search with predictions, and single predicted search. One of them, which is best suited for the predicted motion type, is adaptively performed on a block basis. This adaptation process improves the accuracy of the estimated motion vectors without increasing the computational load. With the estimated motion vectors, the proposed MCI method reconstructs high-quality frames, without producing block artifacts, by considering multiple motion trajectories. The method utilizes pixel smoothness constraints besides motionvector reliability when creating and combining the multiple motioncompensated results to remove block artifacts in regions with unreliable motion vectors. Experimental results show that the proposed ME method produces reliable motion vectors that are closer to true motions. Also, the proposed MCI method achieves better image quality than existing algorithms.",
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Frame-rate conversion using hybrid-searchbased motion estimation and adaptive motion-compensated interpolation. / Kim, Young Duk; Chang, Joonyoung; Shin, Gun Shik; Kang, Moon Gi.

In: Optical Engineering, Vol. 47, No. 9, 097002, 01.12.2008.

Research output: Contribution to journalArticle

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