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Motion vector refinement for frame rate up conversion on 3D video

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the rapid development of digital video technology, frame rate up conversion is widely used. In this paper, a novel motion vector refinement method for frame rate up conversion on depth based 3D video is proposed. Our method involves two major stages in frame rate up conversion which are motion estimation and motion vector filtering. In the motion estimation process, the depth constraint to block matching algorithm is introduced in the bi-directional motion estimation method to obtain the motion vectors. In the motion vector filtering process, a depth-guided filter is designed to enhance the consistence of motions in the same depth plane. The refined motion vectors are used for frame interpolation. Experimental results show that the proposed method achieves 0.45 dB gain in terms of PSNR on average and improves the visual quality of the frame rate up-converted video.

Original languageEnglish
Title of host publicationIEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing
PublisherIEEE Computer Society
ISBN (Print)9781479902903
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Visual Communications and Image Processing, VCIP 2013 - Kuching, Sarawak, Malaysia
Duration: 17 Nov 201320 Nov 2013

Publication series

NameIEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing

Conference

Conference2013 IEEE International Conference on Visual Communications and Image Processing, VCIP 2013
Country/TerritoryMalaysia
CityKuching, Sarawak
Period17/11/1320/11/13

Keywords

  • depth map
  • frame rate up conversion
  • motion estimation
  • motion vector refinement

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