A Real-Time Low-Rate Video Compression Algorithm Using Multi-Stage Hierarchical Vector Quantization
Summary :
We propose a real-time low-rate video compression algorithm using fixed-rate multi-stage hierarchical vector quantization. Vector quantization is suitable for mobile computing, since it demands small computation on decoding. The proposed algorithm enables transmission of 10 QCIF frames per second over a low-rate 29.2 kbps mobile channel. A frame is hierarchically divided by sub-blocks. A frame of images is compressed in a fixed rate at any video activity. For active frames, large sub-blocks for low resolution are mainly transmitted. For inactive frames, smaller sub-blocks for high resolution can be transmitted successively after a motion-compensated frame. We develop a compression system which consists of a host computer and a memory-based processor for the nearest neighbor search on VQ. Our algorithm guarantees real-time decoding on a poor CPU.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E82-A No.2 pp.215-222
- Publication Date
- 1999/02/25
- Publicized
- Online ISSN
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- Type of Manuscript
- Special Section PAPER (Special Section on VLSI for Digital Signal Processing)
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Kazutoshi KOBAYASHI, Kazuhiko TERADA, Hidetoshi ONODERA, Keikichi TAMARU, "A Real-Time Low-Rate Video Compression Algorithm Using Multi-Stage Hierarchical Vector Quantization" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 2, pp. 215-222, February 1999, doi: .
Abstract: We propose a real-time low-rate video compression algorithm using fixed-rate multi-stage hierarchical vector quantization. Vector quantization is suitable for mobile computing, since it demands small computation on decoding. The proposed algorithm enables transmission of 10 QCIF frames per second over a low-rate 29.2 kbps mobile channel. A frame is hierarchically divided by sub-blocks. A frame of images is compressed in a fixed rate at any video activity. For active frames, large sub-blocks for low resolution are mainly transmitted. For inactive frames, smaller sub-blocks for high resolution can be transmitted successively after a motion-compensated frame. We develop a compression system which consists of a host computer and a memory-based processor for the nearest neighbor search on VQ. Our algorithm guarantees real-time decoding on a poor CPU.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_2_215/_p
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@ARTICLE{e82-a_2_215,
author={Kazutoshi KOBAYASHI, Kazuhiko TERADA, Hidetoshi ONODERA, Keikichi TAMARU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Real-Time Low-Rate Video Compression Algorithm Using Multi-Stage Hierarchical Vector Quantization},
year={1999},
volume={E82-A},
number={2},
pages={215-222},
abstract={We propose a real-time low-rate video compression algorithm using fixed-rate multi-stage hierarchical vector quantization. Vector quantization is suitable for mobile computing, since it demands small computation on decoding. The proposed algorithm enables transmission of 10 QCIF frames per second over a low-rate 29.2 kbps mobile channel. A frame is hierarchically divided by sub-blocks. A frame of images is compressed in a fixed rate at any video activity. For active frames, large sub-blocks for low resolution are mainly transmitted. For inactive frames, smaller sub-blocks for high resolution can be transmitted successively after a motion-compensated frame. We develop a compression system which consists of a host computer and a memory-based processor for the nearest neighbor search on VQ. Our algorithm guarantees real-time decoding on a poor CPU.},
keywords={},
doi={},
ISSN={},
month={February},}
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TY - JOUR
TI - A Real-Time Low-Rate Video Compression Algorithm Using Multi-Stage Hierarchical Vector Quantization
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 215
EP - 222
AU - Kazutoshi KOBAYASHI
AU - Kazuhiko TERADA
AU - Hidetoshi ONODERA
AU - Keikichi TAMARU
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 1999
AB - We propose a real-time low-rate video compression algorithm using fixed-rate multi-stage hierarchical vector quantization. Vector quantization is suitable for mobile computing, since it demands small computation on decoding. The proposed algorithm enables transmission of 10 QCIF frames per second over a low-rate 29.2 kbps mobile channel. A frame is hierarchically divided by sub-blocks. A frame of images is compressed in a fixed rate at any video activity. For active frames, large sub-blocks for low resolution are mainly transmitted. For inactive frames, smaller sub-blocks for high resolution can be transmitted successively after a motion-compensated frame. We develop a compression system which consists of a host computer and a memory-based processor for the nearest neighbor search on VQ. Our algorithm guarantees real-time decoding on a poor CPU.
ER -
English
