Graph-based Keyword Spotting

By: Michael Stauffer, Andreas Fischer, Kaspar Riesen

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eText | 24 July 2019

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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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

Contents:

Introduction
Related Work
Datasets
Graph Representations
Graph Matching
Graph-Based Keyword Spotting
Experiments
Conclusion & Future Work
Appendices:
- Visualisation of Graph Representations
- Optimisation of the Parameters
- Ensemble Methods

Readership: Professionals, academics, researchers and graduate students in pattern recognition, AI, and databases.Keyword Spotting;Graph Matching;Graph Representation;Handwritten Historical Documents;Document Analysis00