Image/video indexing in the compressed domain

F. Idris, S. Panchanathan

Research output: Contribution to journalConference article

Abstract

Visual database systems require efficient indexing to enable fast access to the images and video sequences in the database. Since image and video data are voluminous, compression is essential for storage and transmission. The International Standards Organization has proposed the JPEG and MPEG standards for image and video compression, respectively. In order to avoid the unnecessary decompression and recompression operations in the searching process, it is efficient to index the image/video in the compressed form. In this paper, we present image and video indexing techniques in the compressed domain.

Original languageEnglish (US)
Pages (from-to)903-906
Number of pages4
JournalCanadian Conference on Electrical and Computer Engineering
Volume2
StatePublished - Jan 1 1996
Externally publishedYes
EventProceedings of the 1996 Canadian Conference on Electrical and Computer Engineering, CCECE'96. Part 1 (of 2) - Calgary, Can
Duration: May 26 1996May 29 1996

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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