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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><front><journal-meta><journal-id journal-id-type="publisher-id">INFORMATICA</journal-id><journal-title-group><journal-title>Informatica</journal-title></journal-title-group><issn pub-type="epub">0868-4952</issn><issn pub-type="ppub">0868-4952</issn><publisher><publisher-name>VU</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">inf14102</article-id><article-id pub-id-type="doi">10.15388/Informatica.2003.002</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Scene Change Detection Schemes for Video Indexing in Uncompressed Domain</article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>El‐Qawasmeh</surname><given-names>Eyas</given-names></name><email xlink:href="mailto:eyas@just.edu.jo">eyas@just.edu.jo</email><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><aff id="j_INFORMATICA_aff_000">Computer Science and Information Systems Dept., Jordan University of Science and Technology P.O. Box 3030, Irbid 22110, Jordan</aff></contrib-group><pub-date pub-type="epub"><day>01</day><month>01</month><year>2003</year></pub-date><volume>14</volume><issue>1</issue><fpage>19</fpage><lpage>36</lpage><history><date date-type="received"><day>01</day><month>12</month><year>2002</year></date></history><abstract><p>There are a growing number of applications, which extensively use the visual media. A key requirement in those applications is efficient access to the stored visual information for the purposes of indexing, fast retrieval, and scene analysis. To support this vision, many scene change detection algorithms have been developed for both sudden and gradual scene change in uncompressed domain. This paper presents a comparison of shot boundary detection and classification techniques and their variations including histogram, pixel‐differences, likelihood ratio, and motion vector. In addition, the pros and cons of each approach with many clarifying comments are presented.</p></abstract><kwd-group><label>Keywords</label><kwd>audio segmentation</kwd><kwd>scene change detection</kwd><kwd>shot change detection</kwd><kwd>video databases</kwd><kwd>video indexing</kwd></kwd-group></article-meta></front></article>