Review of Image and Video Indexing Techniques

Research output: Contribution to journalArticlepeer-review

202 Scopus citations


Visual database systems require efficient indexing to facilitate fast access to the images and video sequences in the database. Recently, several content-based indexing methods for image and video based on spatial relationships, color, texture, shape, sketch, object motion, and camera parameters have been reported in the literature. The goal of this paper is to provide a critical survey of existing literature on content-based indexing techniques and to point out the relative advantages and disadvantages Of each approach.

Original languageEnglish (US)
Pages (from-to)146-166
Number of pages21
JournalJournal of Visual Communication and Image Representation
Issue number2
StatePublished - Jun 1997
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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