Joint Motion-Compensated Interpolation Using Eight-Neighbor Block Motion Vectors

Ran LI; Zong-Liang GAN; Zi-Guan CUI; Xiu-Chang ZHU

doi:10.1587/transinf.E96.D.976

Joint Motion-Compensated Interpolation Using Eight-Neighbor Block Motion Vectors

Ran LI, Zong-Liang GAN, Zi-Guan CUI, Xiu-Chang ZHU

Full Text Views

0

Share
Cite this

Summary :

Novel joint motion-compensated interpolation using eight-neighbor block motion vectors (8J-MCI) is presented. The proposed method uses bi-directional motion estimation (BME) to obtain the motion vector field of the interpolated frame and adopts motion vectors of the interpolated block and its 8-neighbor blocks to jointly predict the target block. Since the smoothness of the motion vector filed makes the motion vectors of 8-neighbor blocks quite close to the true motion vector of the interpolated block, the proposed algorithm has the better fault-tolerancy than traditional ones. Experiments show that the proposed algorithm outperforms the motion-aligned auto-regressive algorithm (MAAR, one of the state-of-the-art frame rate up-conversion (FRUC) schemes) in terms of the average PSNR for the test image sequence and offers better subjective visual quality.

Publication: IEICE TRANSACTIONS on Information Vol.E96-D No.4 pp.976-979

Publication Date: 2013/04/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E96.D.976

Type of Manuscript: LETTER

Category: Image Processing and Video Processing

Cite this

Copy

Ran LI, Zong-Liang GAN, Zi-Guan CUI, Xiu-Chang ZHU, "Joint Motion-Compensated Interpolation Using Eight-Neighbor Block Motion Vectors" in IEICE TRANSACTIONS on Information, vol. E96-D, no. 4, pp. 976-979, April 2013, doi: 10.1587/transinf.E96.D.976.
Abstract: Novel joint motion-compensated interpolation using eight-neighbor block motion vectors (8J-MCI) is presented. The proposed method uses bi-directional motion estimation (BME) to obtain the motion vector field of the interpolated frame and adopts motion vectors of the interpolated block and its 8-neighbor blocks to jointly predict the target block. Since the smoothness of the motion vector filed makes the motion vectors of 8-neighbor blocks quite close to the true motion vector of the interpolated block, the proposed algorithm has the better fault-tolerancy than traditional ones. Experiments show that the proposed algorithm outperforms the motion-aligned auto-regressive algorithm (MAAR, one of the state-of-the-art frame rate up-conversion (FRUC) schemes) in terms of the average PSNR for the test image sequence and offers better subjective visual quality.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E96.D.976/_p

Copy

@ARTICLE{e96-d_4_976,
author={Ran LI, Zong-Liang GAN, Zi-Guan CUI, Xiu-Chang ZHU, },
journal={IEICE TRANSACTIONS on Information},
title={Joint Motion-Compensated Interpolation Using Eight-Neighbor Block Motion Vectors},
year={2013},
volume={E96-D},
number={4},
pages={976-979},
abstract={Novel joint motion-compensated interpolation using eight-neighbor block motion vectors (8J-MCI) is presented. The proposed method uses bi-directional motion estimation (BME) to obtain the motion vector field of the interpolated frame and adopts motion vectors of the interpolated block and its 8-neighbor blocks to jointly predict the target block. Since the smoothness of the motion vector filed makes the motion vectors of 8-neighbor blocks quite close to the true motion vector of the interpolated block, the proposed algorithm has the better fault-tolerancy than traditional ones. Experiments show that the proposed algorithm outperforms the motion-aligned auto-regressive algorithm (MAAR, one of the state-of-the-art frame rate up-conversion (FRUC) schemes) in terms of the average PSNR for the test image sequence and offers better subjective visual quality.},
keywords={},
doi={10.1587/transinf.E96.D.976},
ISSN={1745-1361},
month={April},}

Copy

TY - JOUR
TI - Joint Motion-Compensated Interpolation Using Eight-Neighbor Block Motion Vectors
T2 - IEICE TRANSACTIONS on Information
SP - 976
EP - 979
AU - Ran LI
AU - Zong-Liang GAN
AU - Zi-Guan CUI
AU - Xiu-Chang ZHU
PY - 2013
DO - 10.1587/transinf.E96.D.976
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2013
AB - Novel joint motion-compensated interpolation using eight-neighbor block motion vectors (8J-MCI) is presented. The proposed method uses bi-directional motion estimation (BME) to obtain the motion vector field of the interpolated frame and adopts motion vectors of the interpolated block and its 8-neighbor blocks to jointly predict the target block. Since the smoothness of the motion vector filed makes the motion vectors of 8-neighbor blocks quite close to the true motion vector of the interpolated block, the proposed algorithm has the better fault-tolerancy than traditional ones. Experiments show that the proposed algorithm outperforms the motion-aligned auto-regressive algorithm (MAAR, one of the state-of-the-art frame rate up-conversion (FRUC) schemes) in terms of the average PSNR for the test image sequence and offers better subjective visual quality.
ER -