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Graph-based keyword spotting [electronic resource] / Michael Stauffer, Andreas Fischer, Kaspar Riesen.

By: Stauffer, Michael.
Contributor(s): Fischer, Andreas | Riesen, Kaspar.
Material type: materialTypeLabelBookSeries: Series in machine perception and artificial intelligence: v. 86.Publisher: Singapore : World Scientific Publishing, 2019Description: 1 online resource (xxxi, 264 p.).ISBN: 9789811206634; 9811206635.Subject(s): Pattern recognition systems | Document imaging systems | Image analysisGenre/Form: Electronic books.DDC classification: 006.4 Online resources: Access to full text is restricted to subscribers.
Contents:
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.
Summary: 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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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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Mode of access: World Wide Web.

Includes bibliographical references and index.

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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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

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.

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