Perceptually based techniques for image segmentation and semantic classification

Thrasyvoulos N. Pappas*, Junqing Chen, Dejan Depalov

*Corresponding author for this work

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

We present a new approach for semantic image analysis that combines knowledge of human perception with an understanding of signal characteristics to segment natural scenes into perceptually uniform regions, and then uses the region statistics to extract semantic information. Applications include content-based image retrieval and region of interest extraction for efficient compression/transmission over heterogeneous networks.

Original languageEnglish (US)
Pages (from-to)44-51
Number of pages8
JournalIEEE Communications Magazine
Volume45
Issue number1
DOIs
StatePublished - Jan 1 2007

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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