We have developed and fabricated an LSI called the FMPP-VQ64. The LSI is a memory-based shared-bus SIMD parallel processor containing 64 PEs, intended for low bit-rate image compression using vector quantization. It accelerates the nearest neighbor search (NNS) during vector quantization. The computation time does not depend on the number of code vectors. The FMPP-VQ64 performs 53,000 NNSs per second, while its power dissipation is 20 mW. It can be applied to the mobile telecommunication system.
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
Kazutoshi KOBAYASHI, Noritsugu NAKAMURA, Kazuhiko TERADA, Hidetoshi ONODERA, Keikichi TAMARU, "An LSI for Low Bit-Rate Image Compression Using Vector Quantization" in IEICE TRANSACTIONS on Electronics,
vol. E81-C, no. 5, pp. 718-724, May 1998, doi: .
Abstract: We have developed and fabricated an LSI called the FMPP-VQ64. The LSI is a memory-based shared-bus SIMD parallel processor containing 64 PEs, intended for low bit-rate image compression using vector quantization. It accelerates the nearest neighbor search (NNS) during vector quantization. The computation time does not depend on the number of code vectors. The FMPP-VQ64 performs 53,000 NNSs per second, while its power dissipation is 20 mW. It can be applied to the mobile telecommunication system.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e81-c_5_718/_p
Copy
@ARTICLE{e81-c_5_718,
author={Kazutoshi KOBAYASHI, Noritsugu NAKAMURA, Kazuhiko TERADA, Hidetoshi ONODERA, Keikichi TAMARU, },
journal={IEICE TRANSACTIONS on Electronics},
title={An LSI for Low Bit-Rate Image Compression Using Vector Quantization},
year={1998},
volume={E81-C},
number={5},
pages={718-724},
abstract={We have developed and fabricated an LSI called the FMPP-VQ64. The LSI is a memory-based shared-bus SIMD parallel processor containing 64 PEs, intended for low bit-rate image compression using vector quantization. It accelerates the nearest neighbor search (NNS) during vector quantization. The computation time does not depend on the number of code vectors. The FMPP-VQ64 performs 53,000 NNSs per second, while its power dissipation is 20 mW. It can be applied to the mobile telecommunication system.},
keywords={},
doi={},
ISSN={},
month={May},}
Copy
TY - JOUR
TI - An LSI for Low Bit-Rate Image Compression Using Vector Quantization
T2 - IEICE TRANSACTIONS on Electronics
SP - 718
EP - 724
AU - Kazutoshi KOBAYASHI
AU - Noritsugu NAKAMURA
AU - Kazuhiko TERADA
AU - Hidetoshi ONODERA
AU - Keikichi TAMARU
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E81-C
IS - 5
JA - IEICE TRANSACTIONS on Electronics
Y1 - May 1998
AB - We have developed and fabricated an LSI called the FMPP-VQ64. The LSI is a memory-based shared-bus SIMD parallel processor containing 64 PEs, intended for low bit-rate image compression using vector quantization. It accelerates the nearest neighbor search (NNS) during vector quantization. The computation time does not depend on the number of code vectors. The FMPP-VQ64 performs 53,000 NNSs per second, while its power dissipation is 20 mW. It can be applied to the mobile telecommunication system.
ER -