We proposed a new motion vector (MV) smoothing using fuzzy weighting and vector median filtering for frame rate up-conversion. A fuzzy reasoning system adjusts the weighting values based on the local characteristics of MV field including block difference and block boundary distortion. The fuzzy weighting removes the affect of outliers and irregular MVs from the MV smoothing process. The simulation results show that the proposed algorithm can efficiently correct wrong MVs and thus improve visual quality of the interpolated frames better than conventional methods.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Vinh TRUONG QUANG, Sung-Hoon HONG, Young-Chul KIM, "Fuzzy-Based Motion Vector Smoothing for Motion Compensated Frame Interpolation" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 8, pp. 1578-1581, August 2010, doi: 10.1587/transfun.E93.A.1578.
Abstract: We proposed a new motion vector (MV) smoothing using fuzzy weighting and vector median filtering for frame rate up-conversion. A fuzzy reasoning system adjusts the weighting values based on the local characteristics of MV field including block difference and block boundary distortion. The fuzzy weighting removes the affect of outliers and irregular MVs from the MV smoothing process. The simulation results show that the proposed algorithm can efficiently correct wrong MVs and thus improve visual quality of the interpolated frames better than conventional methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.1578/_p
Copy
@ARTICLE{e93-a_8_1578,
author={Vinh TRUONG QUANG, Sung-Hoon HONG, Young-Chul KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Fuzzy-Based Motion Vector Smoothing for Motion Compensated Frame Interpolation},
year={2010},
volume={E93-A},
number={8},
pages={1578-1581},
abstract={We proposed a new motion vector (MV) smoothing using fuzzy weighting and vector median filtering for frame rate up-conversion. A fuzzy reasoning system adjusts the weighting values based on the local characteristics of MV field including block difference and block boundary distortion. The fuzzy weighting removes the affect of outliers and irregular MVs from the MV smoothing process. The simulation results show that the proposed algorithm can efficiently correct wrong MVs and thus improve visual quality of the interpolated frames better than conventional methods.},
keywords={},
doi={10.1587/transfun.E93.A.1578},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - Fuzzy-Based Motion Vector Smoothing for Motion Compensated Frame Interpolation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1578
EP - 1581
AU - Vinh TRUONG QUANG
AU - Sung-Hoon HONG
AU - Young-Chul KIM
PY - 2010
DO - 10.1587/transfun.E93.A.1578
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2010
AB - We proposed a new motion vector (MV) smoothing using fuzzy weighting and vector median filtering for frame rate up-conversion. A fuzzy reasoning system adjusts the weighting values based on the local characteristics of MV field including block difference and block boundary distortion. The fuzzy weighting removes the affect of outliers and irregular MVs from the MV smoothing process. The simulation results show that the proposed algorithm can efficiently correct wrong MVs and thus improve visual quality of the interpolated frames better than conventional methods.
ER -