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

Zhibin Pan, Koji Kotani, Tadahiro Ohmi

Research output: Contribution to journalLetterpeer-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 languageEnglish
Pages (from-to)2483-2486
Number of pages4
JournalIEICE Transactions on Information and Systems
VolumeE86-D
Issue number11
Publication statusPublished - 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

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