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      Evaluation of Automatic Shot Boundary Detection on a Large Video Test Suite

      proceedings-article

      1 , 1 , 2 , 2

      Challenge of Image Retrieval (CIR)

      Image Retrieval

      25th - 26th February 1999

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            Abstract

            The challenge facing the indexing of digital video information in order to support browsing and retrieval by users, is to design systems that can accurately and automatically process large amounts of heterogeneous video. The segmentation of video material into shots and scenes is the basic operation in the analysis of video content. This paper presents a detailed evaluation of a histogram-based shot cut detector based on eight hours of TV broadcast video. Our observations are that the selection of similarity thresholds for determining shot boundaries in such broadcast video is difficult and necessitates the development of systems that employ adaptive thresholding in order to address the huge variation of characteristics prevalent in TV broadcast video.

            Content

            Author and article information

            Conference
            February 1999
            February 1999
            : 1-12
            Affiliations
            [1 ]School of Computer Applications

            Dublin City University

            Glasnevin, Dublin, Ireland.
            [2 ]School of Electronic Engineering

            Dublin City University

            Glasnevin, Dublin, Ireland.
            Article
            10.14236/ewic/CIR1999.3
            e5cde45d-1956-45be-a12f-64eb37ad4459
            © Colin O’Toole et al. Published by BCS Learning and Development Ltd. Challenge of Image Retrieval

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Challenge of Image Retrieval
            CIR
            Newcastle upon Tyne, UK
            25th - 26th February 1999
            Electronic Workshops in Computing (eWiC)
            Image Retrieval
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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