Graph-based keyword spotting [electronic resource] /
Michael Stauffer, Andreas Fischer, Kaspar Riesen.
- Singapore : World Scientific Publishing, 2019.
- 1 online resource (xxxi, 264 p.)
- Series in machine perception and artificial intelligence, v. 86 1793-0839 ; .
- Series in machine perception and artificial intelligence ; v. 86. .
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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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.