IEICE TRANSACTIONS on Fundamentals
Bits Truncation Adapteve Pyramid Algorithm for Motion Estimation of MPEG2
Summary :
In this paper, a new bits truncation adaptive pyramid (BTAP) algorithm for motion estimation is presented. The method employs bits truncation of the gray level from 8bits to much less bits in the searching algorithm. Compared with conventional fast block matching algorithms, this method drastically improves speed for motion estimation of reduced gray-level images and preserves reasonable performance and algorithm reliability. Bits truncation concept is well combined with hierarchical pyramid algorithm in order to truncate adaptively according to image characteristics. The computation complexity is much less than that of pyramid algorithm and 3-Step motion estimation algorithm because of bit-truncated searbh and low overhead adaptation. Nevertheless, the PSNR property is also comparable with these two algorithms for various video sequences.
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- IEICE TRANSACTIONS on Fundamentals Vol.E80-A No.8 pp.1438-1445
- Publication Date
- 1997/08/25
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- Special Section PAPER (Special Section on Digital Signal Processing)
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Li JIANG, Kazuhito ITO, Hiroaki KUNIEDA, "Bits Truncation Adapteve Pyramid Algorithm for Motion Estimation of MPEG2" in IEICE TRANSACTIONS on Fundamentals,
vol. E80-A, no. 8, pp. 1438-1445, August 1997, doi: .
Abstract: In this paper, a new bits truncation adaptive pyramid (BTAP) algorithm for motion estimation is presented. The method employs bits truncation of the gray level from 8bits to much less bits in the searching algorithm. Compared with conventional fast block matching algorithms, this method drastically improves speed for motion estimation of reduced gray-level images and preserves reasonable performance and algorithm reliability. Bits truncation concept is well combined with hierarchical pyramid algorithm in order to truncate adaptively according to image characteristics. The computation complexity is much less than that of pyramid algorithm and 3-Step motion estimation algorithm because of bit-truncated searbh and low overhead adaptation. Nevertheless, the PSNR property is also comparable with these two algorithms for various video sequences.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e80-a_8_1438/_p
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@ARTICLE{e80-a_8_1438,
author={Li JIANG, Kazuhito ITO, Hiroaki KUNIEDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Bits Truncation Adapteve Pyramid Algorithm for Motion Estimation of MPEG2},
year={1997},
volume={E80-A},
number={8},
pages={1438-1445},
abstract={In this paper, a new bits truncation adaptive pyramid (BTAP) algorithm for motion estimation is presented. The method employs bits truncation of the gray level from 8bits to much less bits in the searching algorithm. Compared with conventional fast block matching algorithms, this method drastically improves speed for motion estimation of reduced gray-level images and preserves reasonable performance and algorithm reliability. Bits truncation concept is well combined with hierarchical pyramid algorithm in order to truncate adaptively according to image characteristics. The computation complexity is much less than that of pyramid algorithm and 3-Step motion estimation algorithm because of bit-truncated searbh and low overhead adaptation. Nevertheless, the PSNR property is also comparable with these two algorithms for various video sequences.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Bits Truncation Adapteve Pyramid Algorithm for Motion Estimation of MPEG2
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1438
EP - 1445
AU - Li JIANG
AU - Kazuhito ITO
AU - Hiroaki KUNIEDA
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E80-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 1997
AB - In this paper, a new bits truncation adaptive pyramid (BTAP) algorithm for motion estimation is presented. The method employs bits truncation of the gray level from 8bits to much less bits in the searching algorithm. Compared with conventional fast block matching algorithms, this method drastically improves speed for motion estimation of reduced gray-level images and preserves reasonable performance and algorithm reliability. Bits truncation concept is well combined with hierarchical pyramid algorithm in order to truncate adaptively according to image characteristics. The computation complexity is much less than that of pyramid algorithm and 3-Step motion estimation algorithm because of bit-truncated searbh and low overhead adaptation. Nevertheless, the PSNR property is also comparable with these two algorithms for various video sequences.
ER -
English
