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Evaluation of Automatic Shot Boundary Detection on a Large Video Test Suite
proceedings-article
Colin O’Toole 1 , Alan Smeaton 1 , Noel Murphy 2 , Sean Marlow 2
February 1999
Challenge of Image Retrieval (CIR)
Image Retrieval
25th - 26th February 1999
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
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
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https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/CIR1999.3
Self URI (journal page):
https://ewic.bcs.org/
Categories
Electronic Workshops in Computing