國立虎尾科技大學 |

Graph-based keyword spotting

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Graph-based keyword spotting/ Michael Stauffer, Andreas Fischer, Kaspar Riesen.
作者:	Stauffer, Michael.
其他作者:	Riesen, Kaspar.
出版者:	Singapore :World Scientific, : c2020.,
面頁冊數:	1 online resource (xxxi, 264 p.)
標題:	Image analysis. -
電子資源:	https://www.worldscientific.com/worldscibooks/10.1142/11452#t=toc
ISBN:	9789811206634

Graph-based keyword spotting
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. 73.

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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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:

578867
Image analysis.

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

Dewey Class. No.: 006.4

Graph-based keyword spotting
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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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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.
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