New Protocol Design for Wordspotting Assistance System: Case Study of the Collaborative Library Model - ARMARIUS

Abir Chaari, Fadoua Drira, A. Alimi, Elöd Egyed-Zsigmond, Frank Lebourgeois
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Abstract

The cultural heritage is full of important manuscript collections preserved in digital libraries. The need to annotate and enrich the scanned documents is claimed by some users to keep traces in the system for a further use. Moreover, the reuse of annotations could help other users to accomplish repetitive tasks in a semi-automatic way. One manuscript annotation technique is the word spotting. It is a process that seeks in a document for all the fragments that are similar to the one specified by the user. The main focus of this research work is to propose a solution integrating and encapsulating the word spotting algorithm in digital libraries. This solution involves, in particular, the specification and the implementation of an architecture to integrate the image processing tool using Restful Web services. The proposed prototype is tested on the ARMARIUS digital library. This library is one of the collaborative digital archiving models that stores ancient digitized manuscripts.
词语识别辅助系统的新协议设计:以协同图书馆模式ARMARIUS为例
文化遗产中有大量保存在数字图书馆的重要手稿收藏。一些用户声称需要对扫描的文档进行注释和丰富,以便在系统中保留痕迹以供进一步使用。此外,注释的重用可以帮助其他用户以半自动的方式完成重复的任务。一种手稿注释技术是单词标记。这是一个在文档中寻找与用户指定的片段相似的所有片段的过程。本文的研究重点是提出一种集成和封装数字图书馆中单词识别算法的解决方案。该解决方案特别涉及使用Restful Web服务集成图像处理工具的体系结构的规范和实现。该原型在ARMARIUS数字图书馆上进行了测试。该图书馆是保存古代数字化手稿的协作数字存档模式之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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