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

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.

Conference

Publication date: February 1999

Publication date (Print): February 1999

Pages: 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

DOI: 10.14236/ewic/CIR1999.3

Copyright statement: © Colin O’Toole et al. Published by BCS Learning and Development Ltd. Challenge of Image Retrieval

License:

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/

Conference name: Challenge of Image Retrieval

Conference acronym: CIR

Conference number:

Conference location: Newcastle upon Tyne, UK

Conference date: 25th - 26th February 1999

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Image Retrieval

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/CIR1999.3

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing