We propose a motion estimation algorithm using less gray level images, which are composed of bits pixels lower than 8 bits pixels. Threshold values for generating low bits pixels from 8 bits pixels are simply determined as median values of pixels in a macro block. The proposed algorithm reduces the computational complexity of motion estimation at less expense of video quality. Moreover, median cut quantization can be applied to multilevel images and combined with a lot of fast algorithms to obtain more effective algorithms.
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
Hitoshi KIYA, Jun FURUKAWA, Yoshihiro NOGUCHI, "Block Matching Motion Estimation Based on Median Cut Quantization for MPEG Video" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 6, pp. 899-904, June 1999, doi: .
Abstract: We propose a motion estimation algorithm using less gray level images, which are composed of bits pixels lower than 8 bits pixels. Threshold values for generating low bits pixels from 8 bits pixels are simply determined as median values of pixels in a macro block. The proposed algorithm reduces the computational complexity of motion estimation at less expense of video quality. Moreover, median cut quantization can be applied to multilevel images and combined with a lot of fast algorithms to obtain more effective algorithms.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_6_899/_p
Copy
@ARTICLE{e82-a_6_899,
author={Hitoshi KIYA, Jun FURUKAWA, Yoshihiro NOGUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Block Matching Motion Estimation Based on Median Cut Quantization for MPEG Video},
year={1999},
volume={E82-A},
number={6},
pages={899-904},
abstract={We propose a motion estimation algorithm using less gray level images, which are composed of bits pixels lower than 8 bits pixels. Threshold values for generating low bits pixels from 8 bits pixels are simply determined as median values of pixels in a macro block. The proposed algorithm reduces the computational complexity of motion estimation at less expense of video quality. Moreover, median cut quantization can be applied to multilevel images and combined with a lot of fast algorithms to obtain more effective algorithms.},
keywords={},
doi={},
ISSN={},
month={June},}
Copy
TY - JOUR
TI - Block Matching Motion Estimation Based on Median Cut Quantization for MPEG Video
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 899
EP - 904
AU - Hitoshi KIYA
AU - Jun FURUKAWA
AU - Yoshihiro NOGUCHI
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 1999
AB - We propose a motion estimation algorithm using less gray level images, which are composed of bits pixels lower than 8 bits pixels. Threshold values for generating low bits pixels from 8 bits pixels are simply determined as median values of pixels in a macro block. The proposed algorithm reduces the computational complexity of motion estimation at less expense of video quality. Moreover, median cut quantization can be applied to multilevel images and combined with a lot of fast algorithms to obtain more effective algorithms.
ER -