This paper describes a VLSI-oriented motion estimation algorithm using a steepest descent method (SDM) applied to MPEG-4 visual communication with a mobile terminal. The SDM algorithm is optimized for QCIF or CIF resolution video and VLSI implementation. The SDM combined with a subblock search method is developed to enhance picture quality. Simulation results show that a mean PSNR drop of the SDM algorithm processing QCIF 15 fps resolution video in comparison with a full search algorithm is -0.17 dB. Power consumption of a VLSI based on the SDM algorithm assuming 0.18 µm CMOS technology is estimated at 2 mW. The VLSI attains higher picture quality than that based on the other fast motion estimation algorithm, and is applicable to mobile video applications.
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Masayuki MIYAMA, Junichi MIYAKOSHI, Kousuke IMAMURA, Hideo HASHIMOTO, Masahiko YOSHIMOTO, "VLSI-Oriented Motion Estimation Using a Steepest Descent Method in Mobile Video Coding" in IEICE TRANSACTIONS on Electronics,
vol. E87-C, no. 4, pp. 466-474, April 2004, doi: .
Abstract: This paper describes a VLSI-oriented motion estimation algorithm using a steepest descent method (SDM) applied to MPEG-4 visual communication with a mobile terminal. The SDM algorithm is optimized for QCIF or CIF resolution video and VLSI implementation. The SDM combined with a subblock search method is developed to enhance picture quality. Simulation results show that a mean PSNR drop of the SDM algorithm processing QCIF 15 fps resolution video in comparison with a full search algorithm is -0.17 dB. Power consumption of a VLSI based on the SDM algorithm assuming 0.18 µm CMOS technology is estimated at 2 mW. The VLSI attains higher picture quality than that based on the other fast motion estimation algorithm, and is applicable to mobile video applications.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e87-c_4_466/_p
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@ARTICLE{e87-c_4_466,
author={Masayuki MIYAMA, Junichi MIYAKOSHI, Kousuke IMAMURA, Hideo HASHIMOTO, Masahiko YOSHIMOTO, },
journal={IEICE TRANSACTIONS on Electronics},
title={VLSI-Oriented Motion Estimation Using a Steepest Descent Method in Mobile Video Coding},
year={2004},
volume={E87-C},
number={4},
pages={466-474},
abstract={This paper describes a VLSI-oriented motion estimation algorithm using a steepest descent method (SDM) applied to MPEG-4 visual communication with a mobile terminal. The SDM algorithm is optimized for QCIF or CIF resolution video and VLSI implementation. The SDM combined with a subblock search method is developed to enhance picture quality. Simulation results show that a mean PSNR drop of the SDM algorithm processing QCIF 15 fps resolution video in comparison with a full search algorithm is -0.17 dB. Power consumption of a VLSI based on the SDM algorithm assuming 0.18 µm CMOS technology is estimated at 2 mW. The VLSI attains higher picture quality than that based on the other fast motion estimation algorithm, and is applicable to mobile video applications.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - VLSI-Oriented Motion Estimation Using a Steepest Descent Method in Mobile Video Coding
T2 - IEICE TRANSACTIONS on Electronics
SP - 466
EP - 474
AU - Masayuki MIYAMA
AU - Junichi MIYAKOSHI
AU - Kousuke IMAMURA
AU - Hideo HASHIMOTO
AU - Masahiko YOSHIMOTO
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E87-C
IS - 4
JA - IEICE TRANSACTIONS on Electronics
Y1 - April 2004
AB - This paper describes a VLSI-oriented motion estimation algorithm using a steepest descent method (SDM) applied to MPEG-4 visual communication with a mobile terminal. The SDM algorithm is optimized for QCIF or CIF resolution video and VLSI implementation. The SDM combined with a subblock search method is developed to enhance picture quality. Simulation results show that a mean PSNR drop of the SDM algorithm processing QCIF 15 fps resolution video in comparison with a full search algorithm is -0.17 dB. Power consumption of a VLSI based on the SDM algorithm assuming 0.18 µm CMOS technology is estimated at 2 mW. The VLSI attains higher picture quality than that based on the other fast motion estimation algorithm, and is applicable to mobile video applications.
ER -