Image abstraction for improved semantic retrieval accuracy and reduced space-time complexities

Anas Y. Boubas, Saad Harous, Boumediene Belkhouche

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

There have been many developments in content-based image retrieval (CBIR) recently. While retrieval quality of such systems has improved dramatically in the last decade, the complexities involved made most available systems impractical in real-life use. These complexities are a combination of space use and computational time required. Most approaches available to reduce these two complexities are a trade-off with retrieval accuracy and quality. In this work, we demonstrate a novel abstraction system based on Singular Value Decomposition (SVD), which is able to reduce the complexities of image retrieval systems, while at the same time enhancing the retrieval quality. We used an implementation of a very recent content-based image retrieval system named IPSILON [11] to demonstrate how quality and complexity are greatly enhanced.

Original languageEnglish
Title of host publicationProceedings - 4th International Congress on Image and Signal Processing, CISP 2011
Pages1363-1367
Number of pages5
DOIs
Publication statusPublished - Dec 1 2011
Event4th International Congress on Image and Signal Processing, CISP 2011 - Shanghai, China
Duration: Oct 15 2011Oct 17 2011

Publication series

NameProceedings - 4th International Congress on Image and Signal Processing, CISP 2011
Volume3

Other

Other4th International Congress on Image and Signal Processing, CISP 2011
Country/TerritoryChina
CityShanghai
Period10/15/1110/17/11

Keywords

  • Efficiency
  • Image Abstraction
  • Image Retrieval
  • Semantic Indexing

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Signal Processing

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