A Fast Encoding Method for Vector Quantization Using L1 and L2 Norms to Narrow Necessary Search Scope
Summary :
A fast winner search method based on separating all codewords in the original codebook completely into a promising group and an impossible group is proposed. Group separation is realized by using sorted both L1 and L2 norms independently. As a result, the necessary search scope that guarantees full search equivalent PSNR can be limited to the common part of the 2 individual promising groups. The high search efficiency is confirmed by experimental results.
- Publication
- IEICE TRANSACTIONS on Information Vol.E86-D No.11 pp.2483-2486
- Publication Date
- 2003/11/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Image Processing, Image Pattern Recognition
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Zhibin PAN, Koji KOTANI, Tadahiro OHMI, "A Fast Encoding Method for Vector Quantization Using L1 and L2 Norms to Narrow Necessary Search Scope" in IEICE TRANSACTIONS on Information,
vol. E86-D, no. 11, pp. 2483-2486, November 2003, doi: .
Abstract: A fast winner search method based on separating all codewords in the original codebook completely into a promising group and an impossible group is proposed. Group separation is realized by using sorted both L1 and L2 norms independently. As a result, the necessary search scope that guarantees full search equivalent PSNR can be limited to the common part of the 2 individual promising groups. The high search efficiency is confirmed by experimental results.
URL: https://global.ieice.org/en_transactions/information/10.1587/e86-d_11_2483/_p
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@ARTICLE{e86-d_11_2483,
author={Zhibin PAN, Koji KOTANI, Tadahiro OHMI, },
journal={IEICE TRANSACTIONS on Information},
title={A Fast Encoding Method for Vector Quantization Using L1 and L2 Norms to Narrow Necessary Search Scope},
year={2003},
volume={E86-D},
number={11},
pages={2483-2486},
abstract={A fast winner search method based on separating all codewords in the original codebook completely into a promising group and an impossible group is proposed. Group separation is realized by using sorted both L1 and L2 norms independently. As a result, the necessary search scope that guarantees full search equivalent PSNR can be limited to the common part of the 2 individual promising groups. The high search efficiency is confirmed by experimental results.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - A Fast Encoding Method for Vector Quantization Using L1 and L2 Norms to Narrow Necessary Search Scope
T2 - IEICE TRANSACTIONS on Information
SP - 2483
EP - 2486
AU - Zhibin PAN
AU - Koji KOTANI
AU - Tadahiro OHMI
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E86-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2003
AB - A fast winner search method based on separating all codewords in the original codebook completely into a promising group and an impossible group is proposed. Group separation is realized by using sorted both L1 and L2 norms independently. As a result, the necessary search scope that guarantees full search equivalent PSNR can be limited to the common part of the 2 individual promising groups. The high search efficiency is confirmed by experimental results.
ER -
English
