The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kami mencadangkan algoritma pemampatan video kadar rendah masa nyata menggunakan kuantiti vektor hierarki berbilang peringkat kadar tetap. Pengkuantitian vektor sesuai untuk pengkomputeran mudah alih, kerana ia memerlukan pengiraan kecil pada penyahkodan. Algoritma yang dicadangkan membolehkan penghantaran 10 bingkai QCIF sesaat melalui saluran mudah alih 29.2 kbps berkadar rendah. Bingkai dibahagikan secara hierarki dengan sub-blok. Bingkai imej dimampatkan dalam kadar tetap pada sebarang aktiviti video. Untuk bingkai aktif, sub-blok besar untuk resolusi rendah dihantar terutamanya. Untuk bingkai tidak aktif, sub-blok yang lebih kecil untuk resolusi tinggi boleh dihantar berturut-turut selepas bingkai pampasan gerakan. Kami membangunkan sistem mampatan yang terdiri daripada komputer hos dan pemproses berasaskan memori untuk carian jiran terdekat pada VQ. Algoritma kami menjamin penyahkodan masa nyata pada CPU yang lemah.
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Salinan
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
Salinan
@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},}
Salinan
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 -