On combining one-class classifiers for image database retrieval

C Lai, DMJ Tax, RPW Duin, EM Pekalska, P Paclik

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    22 Citations (Scopus)

    Abstract

    In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers from class overlap. We propose a novel approach for describing clouds of points based on support vector data description (SVDD). We show that combining SVDD-based classifiers improves the retrieval precision. We investigate the performance of the proposed retrieval technique on a database of 368 texture images and compare it to other methods.
    Original languageUndefined/Unknown
    Title of host publicationMultiple Classifier Systems, Proceedings
    EditorsF Roli, J Kittler
    Place of PublicationBerlin
    PublisherSpringer
    Pages212-221
    Number of pages10
    ISBN (Print)3-540-43818-1
    Publication statusPublished - 2002
    EventThird International Workshop MCS 2002 (Cagliari, Italy) - Berlin
    Duration: 24 Jun 200226 Jun 2002

    Publication series

    Name
    PublisherSpringer Verlag
    NameLecture Notes in Computer Science
    Volume2364
    ISSN (Print)0302-9743

    Conference

    ConferenceThird International Workshop MCS 2002 (Cagliari, Italy)
    Period24/06/0226/06/02

    Bibliographical note

    ISSN 0302-9743, phpub 18

    Keywords

    • conference contrib. refereed
    • ZX CWTS JFIS < 1.00

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