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 - 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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