Graph-based keyword spotting [electronic resource] / Michael Stauffer, Andreas Fischer, Kaspar Riesen.
- 作者: Stauffer, Michael.
- 其他作者:
- 其他題名:
- Series in machine perception and artificial intelligence ;
- 出版: Singapore : World Scientific c2020.
- 叢書名: Series in machine perception and artificial intelligence,v. 86
- 主題: Pattern recognition systems. , Document imaging systems. , Image analysis.
- ISBN: 9789811206634 (electronic bk.) 、 9811206635 (electronic bk.)
- URL:
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- 一般註: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. 111年度臺灣學術電子書暨資料庫聯盟採購
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讀者標籤:
- 系統號: 000296883 | 機讀編目格式
館藏資訊

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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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




