A comparison of shape retrieval using Fourier descriptors and short-time Fourier descriptors

Dengsheng Zhang, Guojun Lu

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    20 Citations (Scopus)


    Shape is one of the primary features in Content Based Image Retrieval (CBIR). Many shape representations and retrieval methods exist. However, most of those methods either do not well capture shape features or are difficult to do normalization (or matching). Among them, methods based Fourier descriptors (FDs) achieve both good representation and easy normalization. FDs is often blamed for not being able to locate local shape features. Methods are proposed in attempt to overcome this drawback. These methods include short-time Fourier transform and wavelet transform. In this paper, we make a study and a comparison of shape retrieval using FDs and short-time Fourier descriptors (SFDs). Query data is given to show the retrieval performance of this two descriptors on a standard database.
    Original languageEnglish
    Title of host publicationAdvances in Multimedia Information Processing– PCM 2001
    Subtitle of host publicationSecond IEEE Pacific Rim Conference on Multimedia Beijing, China, October 24-26, 2001 Proceedings
    EditorsHeung-Yeung Shum, Mark Liao, Shih-Fu Chang
    Place of PublicationBerlin Germany
    Number of pages6
    ISBN (Print)3540426809
    Publication statusPublished - 2001
    EventPacific-Rim Conference on Multimedia 2001 - Beijing, China
    Duration: 22 Oct 200124 Oct 2001
    Conference number: 2nd

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743


    ConferencePacific-Rim Conference on Multimedia 2001
    Abbreviated titlePCM 2001

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