Storage and retrieval of compressed images

F. Idris, S. Panchanathan

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

In this paper, we propose a new technique for the storage and retrieval of compressed images. Here, the images are compressed using vector quantization and the codebook is used to generate a feature vector. This feature vector is used as an index to access the images in the database. This technique combines image compression with image indexing. In addition, it has lower storage and computation requirements compared with other techniques reported in the literature.

Original languageEnglish (US)
Pages (from-to)937-941
Number of pages5
JournalIEEE Transactions on Consumer Electronics
Volume41
Issue number3
DOIs
StatePublished - Aug 1995
Externally publishedYes

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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