Filtering method for image retrieval based on lower bound of euclidean distance

Kohei Inoue, Kiichi Urahama

研究成果: ジャーナルへの寄稿記事

抄録

An acceleration method is presented for searching for similar images based on the lower bound of the Euclidean distance between feature vectors. The lower bound is calculated with lower dimensional feature vectors that are obtained by partitioning each image into several blocks. The effectiveness of the proposed method was determined experimentally using a simple image database. The time required for a 10-NN search was reduced by 95 percent on average.

元の言語英語
ページ(範囲)1701-1704
ページ数4
ジャーナルKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
59
発行部数11
DOI
出版物ステータス出版済み - 11 2005

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Image retrieval

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

これを引用

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