A fast encoding method for vector quantization using L1 and L2 norms to narrow necessary search scope

Zhibin Pan; Koji Kotani; Tadahiro Ohmi

A fast encoding method for vector quantization using L₁ and L₂ norms to narrow necessary search scope

Zhibin Pan, Koji Kotani, Tadahiro Ohmi

ENG - Electronic Engineering

Research output: Contribution to journal › Letter › peer-review

2 Citations (Scopus)

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.

Original language	English
Pages (from-to)	2483-2486
Number of pages	4
Journal	IEICE Transactions on Information and Systems
Volume	E86-D
Issue number	11
Publication status	Published - 2003 Nov

Keywords

Fast search
L and L norm
Vector quantization

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Artificial Intelligence

Cite this

@article{95de47db622449129ad968a0d0f8bd6e,

title = "A fast encoding method for vector quantization using L1 and L2 norms to narrow necessary search scope",

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 = "Fast search, L and L norm, Vector quantization",

author = "Zhibin Pan and Koji Kotani and Tadahiro Ohmi",

year = "2003",

month = nov,

language = "English",

volume = "E86-D",

pages = "2483--2486",

journal = "IEICE Transactions on Information and Systems",

issn = "0916-8532",

publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",

number = "11",

}

TY - JOUR

T1 - A fast encoding method for vector quantization using L1 and L2 norms to narrow necessary search scope

AU - Pan, Zhibin

AU - Kotani, Koji

AU - Ohmi, Tadahiro

PY - 2003/11

Y1 - 2003/11

N2 - 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.

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.

KW - Fast search

KW - L and L norm

KW - Vector quantization

UR - http://www.scopus.com/inward/record.url?scp=0344309175&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0344309175&partnerID=8YFLogxK

M3 - Letter

AN - SCOPUS:0344309175

SN - 0916-8532

VL - E86-D

SP - 2483

EP - 2486

JO - IEICE Transactions on Information and Systems

JF - IEICE Transactions on Information and Systems

IS - 11

ER -

A fast encoding method for vector quantization using L₁ and L₂ norms to narrow necessary search scope

Abstract

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this