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Evaluation of automatic shot boundary detection on a large video test suite
O'Toole, Colin; Smeaton, Alan F.; Murphy, Noel; Marlow, Seán
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.
Keyword(s): Digital video; Information retrieval
Publication Date:
1999
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): O'Toole, Colin, Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389>, Murphy, Noel ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135> and Marlow, Seán (1999) Evaluation of automatic shot boundary detection on a large video test suite. In: CIR 1999 - The Challenge of Image Retrieval: 2nd UK Conference on Image Retrieval, 25-26 February 1999, Newcastle upon Tyne, UK.
Publisher(s): British Computer Society
File Format(s): application/pdf; text/html
Related Link(s): http://doras.dcu.ie/346/1/cir_1999.pdf,
http://doras.dcu.ie/346/2/sld001.htm,
http://www.bcs.org/server.php?show=ConWebDoc.4282
First Indexed: 2009-11-05 02:00:35 Last Updated: 2019-02-09 07:04:12