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{ "item_title" : "Graph-Based Keyword Spotting", "item_author" : [" Stauffer Michael "], "item_description" : "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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS.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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/120/662/9811206627_b.jpg", "price_data" : { "retail_price" : "108.00", "online_price" : "108.00", "our_price" : "108.00", "club_price" : "108.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Graph-Based Keyword Spotting|Stauffer Michael

Graph-Based Keyword Spotting

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Overview

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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS.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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Details

  • ISBN-13: 9789811206627
  • ISBN-10: 9811206627
  • Publisher: World Scientific Publishing Company
  • Publish Date: August 2019
  • Dimensions: 9 x 6 x 0.69 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 296

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