Spatial Shape Error Concealment Utilising Image Texture

    Research output: Chapter in Book/Conference paperConference paperpeer-review

    2 Citations (Scopus)


    In applications where shape is used as metadata to describe image and video content, image dependent techniques exhibit superior error concealment performance compared to the traditional MPEG-4 like image-independent techniques. The image corresponding to a particular shape may not be readily known at the decoder and rather needs to be retrieved from of a set of images. This paper presents a novel shape error concealment technique utilising image texture (SECI) that investigates image matching techniques based on partial-shapes and use the obtained image for error concealment. Iterative closest point, independent component analysis and the modified Hausdorff distance algorithms are used to establish the corresponding image to the shape. The rubberband contour detecting function is employed in the core of the error concealment process. Experimental results show the effectiveness of the proposed technique and corroborate the superior performance of the new SECI technique compared with established shape-based concealment techniques.
    Original languageEnglish
    Title of host publicationThe Proceedings of the 2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA)
    Place of PublicationSingapore
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    ISBN (Print)9781424487554
    Publication statusPublished - 2011
    Event6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China
    Duration: 21 Jun 201123 Jun 2011


    Conference6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
    Abbreviated titleICIEA2011


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