Parallel abstraction of images with applications in image retrieval

Saad Harous, Anas Boubas

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

1 Citation (Scopus)

Abstract

Image abstraction has wide spectrum of application, especially for computationally intensive application such as content-based image retrieval (CBIR). A recently developed abstraction system was demonstrated to enhance the performance of CBIR systems while reducing the space and time complexities. The system is based on Singular Value Decomposition (SVD), a tool borrowed from linear algebra. However, pre-abstracting images also requires high computational power, and has to be optimized for parallel environments in order to be practical. In this work we aim at optimizing the abstraction and creating a parallel engine for it. The new parallel system is demonstrated to run in less than one tenth the time required for the original system.

Original languageEnglish
Title of host publication2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
Pages170-174
Number of pages5
DOIs
Publication statusPublished - Nov 12 2012
Event2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 - Montreal, QC, Canada
Duration: Jul 2 2012Jul 5 2012

Publication series

Name2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012

Other

Other2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
Country/TerritoryCanada
CityMontreal, QC
Period7/2/127/5/12

Keywords

  • Efficiency
  • Image Abstraction
  • Image Retrieval

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing

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