A fast encoding method for vector quantization using modified memory-efficient sum pyramid

Zhibin Pan, Koji Kotani, Tadahiro Ohmi

研究成果: Article査読

抄録

Based on the concept of multi-resolutions, full search (FS) equivalent fast search methods for vector quantization (VQ) using mean-type pyramid have been developed in previous work.1-4) In this paper, a modified memory-efficient sum pyramid is proposed, which is exact for computing the difference in integer form and features one more new resolution L01 in-between the top 2 levels L0 and L1 of a conventional pyramid. Benefiting from a recursive difference computation at the top 3 levels, the proposed method can reduce the total computational cost obviously. Furthermore, a memory-efficient way of storage for the top 3 levels is integrated to reduce extra memory requirement.

本文言語English
ページ(範囲)170-175
ページ数6
ジャーナルOptical Review
11
3
DOI
出版ステータスPublished - 2004 5月

ASJC Scopus subject areas

  • 原子分子物理学および光学

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