A novel de-interlacing technique using bi-directional motion estimation

Yoon Kim, Kang Sun Choi, Jae Young Pyun, Byung Tae Choi, Sung-Jea Ko

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

A novel de-interlacing algorithm is proposed to accomplish high quality video format conversion. In the proposed scheme, bi-directional motion estimation (ME) is performed between the same parity fields, i.e., the previous and next fields. The bi-directional motion estimation is composed of initial motion vector estimation, motion vector smoothing using motion vector field segmentation, and motion vector refinement in the interpolated field. The proposed method using bidirectional motion estimation can produce robust motion vectors in sequences with camera motion such as panning and zooming. Experimental results show a high visual performance of the proposed de-interlacing algorithm.

Original languageEnglish
Pages (from-to)957-966
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2667
Publication statusPublished - 2003 Dec 1

Fingerprint

Deinterlacing
Motion Vector
Motion Estimation
Motion estimation
Video Quality
Parity
Smoothing
Vector Field
Refinement
Segmentation
Camera
Cameras
Motion
Experimental Results

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

A novel de-interlacing technique using bi-directional motion estimation. / Kim, Yoon; Choi, Kang Sun; Pyun, Jae Young; Choi, Byung Tae; Ko, Sung-Jea.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2667, 01.12.2003, p. 957-966.

Research output: Contribution to journalArticle

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