Graph-based keyword spotting:
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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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 desc...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Publishing
2019
|
| Schriftenreihe: | Series in machine perception and artificial intelligence
v. 86 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | 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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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 |
| Beschreibung: | Mode of access: World Wide Web |
| Beschreibung: | 1 online resource (xxxi, 264 pages) |
| ISBN: | 9789811206634 9811206635 |
Internformat
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| 505 | 8 | |a Includes bibliographical references and index | |
| 505 | 8 | |a Introduction -- Related work - Datasets -- Graph representations -- Graph matching -- Graph-based keyword spotting - Experiments -- Conclusion and 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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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 | ||
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| 700 | 1 | |a Riesen, Kaspar |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| contents | Includes bibliographical references and index Introduction -- Related work - Datasets -- Graph representations -- Graph matching -- Graph-based keyword spotting - Experiments -- Conclusion and future work -- Visualisation of graph representations -- Optimisation of the parameters -- Ensemble methods |
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| id | DE-604.BV046807931 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T14:58:06Z |
| indexdate | 2024-07-10T08:54:24Z |
| institution | BVB |
| isbn | 9789811206634 9811206635 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032216548 |
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| physical | 1 online resource (xxxi, 264 pages) |
| psigel | ZDB-124-WOP |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | World Scientific Publishing |
| record_format | marc |
| series2 | Series in machine perception and artificial intelligence |
| spelling | Stauffer, Michael Verfasser aut Graph-based keyword spotting Michael Stauffer, Andreas Fischer, Kaspar Riesen Singapore World Scientific Publishing 2019 1 online resource (xxxi, 264 pages) txt rdacontent c rdamedia cr rdacarrier Series in machine perception and artificial intelligence v. 86 Mode of access: World Wide Web Includes bibliographical references and index Introduction -- Related work - Datasets -- Graph representations -- Graph matching -- Graph-based keyword spotting - Experiments -- Conclusion and 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 Pattern recognition systems Document imaging systems Image analysis Electronic books Fischer, Andreas Sonstige oth Riesen, Kaspar Sonstige oth https://www.worldscientific.com/worldscibooks/10.1142/11452 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Stauffer, Michael Graph-based keyword spotting Includes bibliographical references and index Introduction -- Related work - Datasets -- Graph representations -- Graph matching -- Graph-based keyword spotting - Experiments -- Conclusion and future work -- Visualisation of graph representations -- Optimisation of the parameters -- Ensemble methods Pattern recognition systems Document imaging systems Image analysis |
| title | Graph-based keyword spotting |
| title_auth | Graph-based keyword spotting |
| title_exact_search | Graph-based keyword spotting |
| title_exact_search_txtP | Graph-based keyword spotting |
| title_full | Graph-based keyword spotting Michael Stauffer, Andreas Fischer, Kaspar Riesen |
| title_fullStr | Graph-based keyword spotting Michael Stauffer, Andreas Fischer, Kaspar Riesen |
| title_full_unstemmed | Graph-based keyword spotting Michael Stauffer, Andreas Fischer, Kaspar Riesen |
| title_short | Graph-based keyword spotting |
| title_sort | graph based keyword spotting |
| topic | Pattern recognition systems Document imaging systems Image analysis |
| topic_facet | Pattern recognition systems Document imaging systems Image analysis |
| url | https://www.worldscientific.com/worldscibooks/10.1142/11452 |
| work_keys_str_mv | AT stauffermichael graphbasedkeywordspotting AT fischerandreas graphbasedkeywordspotting AT riesenkaspar graphbasedkeywordspotting |