The contribution of this paper is the development of a fast, block-based JPEG2000 image indexing system in the compressed domain which achieves high memory efficiency. By high memory efficiency we mean the entire wavelet-decomposed coefficient matrix never needs to be buffered. The feature extracted is the variance of each rectangular block in the compressed domain. The extraction of this feature is of very low complexity. Retrieval performance on the VisTex image database has shown its effectiveness.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Block-based, memory-efficient JPEG2000 images indexing in compressed-domain


    Beteiligte:
    Ziyou Xiong, (Autor:in) / Huang, T.S. (Autor:in)


    Erscheinungsdatum :

    2002-01-01


    Format / Umfang :

    430627 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Block-Based, Memory-Efficient JPEG2000 Images Indexing in Compressed-Domain

    Xiong, Z. / Huang, T. S. / IEEE Computer Society et al. | British Library Conference Proceedings | 2002



    Subband-Based, Memory-Efficient JPEG2000 Images Indexing in Compressed-Domain

    Xiong, Z. / Huang, T. S. / IEEE Computer Society et al. | British Library Conference Proceedings | 2002


    Efficient image indexing techniques in the JPEG2000 domain

    Mandal, M. K. / Liu, C. | British Library Online Contents | 2004


    Face recognition in JPEG and JPEG2000 compressed domain

    Delac, K. / Grgic, M. / Grgic, S. | British Library Online Contents | 2009