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 - 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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