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Evaluation of automatic shot boundary detection on a large video test suite

O'Toole, Colin, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389, Murphy, Noel orcid logoORCID: 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.

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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:British Computer Society
Official URL:http://www.bcs.org/server.php?show=ConWebDoc.4282
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:National Software Directorate
ID Code:346
Deposited On:13 Mar 2008 by DORAS Administrator . Last Modified 08 Nov 2018 11:34
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