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Graph-based keyword spotting[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	006.4
書名/作者:	Graph-based keyword spotting/ Michael Stauffer, Andreas Fischer, Kaspar Riesen.
作者:	Stauffer, Michael.
其他作者:	Fischer, Andreas.
出版者:	Singapore : : World Scientific,, c2020.
面頁冊數:	1 online resource (xxxi, 264 p.)
標題:	Pattern recognition systems.
標題:	Document imaging systems.
標題:	Image analysis.
ISBN:	9789811206634
ISBN:	9811206635
書目註:	Includes bibliographical references and index.
內容註:	Introduction -- Related work - Datasets -- Graph representations -- Graph matching -- Graph-based keyword spotting - Experiments -- Conclusion & future work -- Visualisation of graph representations -- Optimisation of the parameters -- Ensemble methods.
摘要、提要註:	Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document. This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching. Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.
電子資源:	https://www.worldscientific.com/worldscibooks/10.1142/11452#t=toc

Graph-based keyword spotting[electronic resource] /
Stauffer, Michael.

Graph-based keyword spotting[electronic resource] /Michael Stauffer, Andreas Fischer, Kaspar Riesen. - Singapore :World Scientific,c2020. - 1 online resource (xxxi, 264 p.) - Series in machine perception and artificial intelligence,v. 861793-0839 ;. - Series in machine perception and artificial intelligence ;v. 74..

Includes bibliographical references and index.

Introduction -- Related work - Datasets -- Graph representations -- Graph matching -- Graph-based keyword spotting - Experiments -- Conclusion & future work -- Visualisation of graph representations -- Optimisation of the parameters -- Ensemble methods.

Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document. This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching. Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.

Mode of access: World Wide Web.

ISBN: 9789811206634Subjects--Topical Terms:

189561
Pattern recognition systems.

LC Class. No.: TK7882.P3 / S73 2020

Dewey Class. No.: 006.4

Graph-based keyword spotting[electronic resource] /
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490 1 $a Series in machine perception and artificial intelligence, $x 1793-0839 ; $v v. 86
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505 0 $a Introduction -- Related work - Datasets -- Graph representations -- Graph matching -- Graph-based keyword spotting - Experiments -- Conclusion & future work -- Visualisation of graph representations -- Optimisation of the parameters -- Ensemble methods.
520 $a Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document. This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching. Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.
538 $a Mode of access: World Wide Web.
588 $a Description based on print version record.
650 0 $a Pattern recognition systems. $3 189561
650 0 $a Document imaging systems. $3 609287
650 0 $a Image analysis. $3 418516
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700 1 $a Riesen, Kaspar. $3 489819
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