An automatic video indexing method based on shot classification
Identifieur interne : 001B63 ( Main/Exploration ); précédent : 001B62; suivant : 001B64An automatic video indexing method based on shot classification
Auteurs : Ichiro Ide [Japon] ; Koji Yamamoto [Japon] ; Reiko Hamada [Japon] ; Hidehiko Tanaka [Japon]Source :
- Systems and Computers in Japan [ 0882-1666 ] ; 2001-08.
English descriptors
Abstract
With the recent increase in the number of news videos and in their value, their automatic indexing has been anticipated. Among various proposals for this problem, the use of textual data has been actively considered, and some applications of this type have actually been developed. Nonetheless, most of these approaches are textual data oriented, and a few of them consider the correspondences between their indexes (keywords) and image contents which are essentials for an image database. This paper proposes an automatic video indexing method which takes advantage of the characteristic of news videos: similar images have similar contents. The method tags indexes selectively according to typical image content. The method has been applied to actual news videos, and indexing has been successful for between 25% and 93% of “typical shots,” and for between 75% and 100% of “captionized shots.” © 2001 Scripta Technica, Syst Comp Jpn, 32(9): 32–41, 2001
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DOI: 10.1002/scj.1053
Affiliations:
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Jpn.</title><idno type="ISSN">0882-1666</idno><idno type="eISSN">1520-684X</idno><imprint><publisher>John Wiley & Sons, Inc.</publisher><pubPlace>New York</pubPlace><date type="published" when="2001-08">2001-08</date><biblScope unit="volume">32</biblScope><biblScope unit="issue">9</biblScope><biblScope unit="page" from="32">32</biblScope><biblScope unit="page" to="41">41</biblScope></imprint><idno type="ISSN">0882-1666</idno></series><idno type="istex">5134CE5E293F3BE8D2641027218C78713A56E9F7</idno><idno type="DOI">10.1002/scj.1053</idno><idno type="ArticleID">SCJ1053</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0882-1666</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>automatic indexing</term><term>caption analysis</term><term>news video</term><term>shot classification</term><term>video database</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">With the recent increase in the number of news videos and in their value, their automatic indexing has been anticipated. Among various proposals for this problem, the use of textual data has been actively considered, and some applications of this type have actually been developed. Nonetheless, most of these approaches are textual data oriented, and a few of them consider the correspondences between their indexes (keywords) and image contents which are essentials for an image database. This paper proposes an automatic video indexing method which takes advantage of the characteristic of news videos: similar images have similar contents. The method tags indexes selectively according to typical image content. The method has been applied to actual news videos, and indexing has been successful for between 25% and 93% of “typical shots,” and for between 75% and 100% of “captionized shots.” © 2001 Scripta Technica, Syst Comp Jpn, 32(9): 32–41, 2001</div></front></TEI><affiliations><list><country><li>Japon</li></country><settlement><li>Tokyo</li></settlement></list><tree><country name="Japon"><noRegion><name sortKey="Ide, Ichiro" sort="Ide, Ichiro" uniqKey="Ide I" first="Ichiro" last="Ide">Ichiro Ide</name></noRegion><name sortKey="Hamada, Reiko" sort="Hamada, Reiko" uniqKey="Hamada R" first="Reiko" last="Hamada">Reiko Hamada</name><name sortKey="Tanaka, Hidehiko" sort="Tanaka, Hidehiko" uniqKey="Tanaka H" first="Hidehiko" last="Tanaka">Hidehiko Tanaka</name><name sortKey="Yamamoto, Koji" sort="Yamamoto, Koji" uniqKey="Yamamoto K" first="Koji" last="Yamamoto">Koji Yamamoto</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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