文档图像检索没有OCRing使用视频扫描系统

E. Kuruoğlu, Vern T. Tan
{"title":"文档图像检索没有OCRing使用视频扫描系统","authors":"E. Kuruoğlu, Vern T. Tan","doi":"10.1145/357744.357950","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a technique for efficient document retrieval from digital libraries containing document images which are token based compressed. The query image is captured from a paper document by the video scanning tool of a multimedia system. The technique we propose uses the layout information supplied by the relative positions of the character tokens on the page of a “query” paper document to retrieve the original document in the image database. This technique avoids OCRing the query document and the documents in the database; moreover avoids decompressing the token based compressed documents in the database, therefore achieving important time and computational gains.","PeriodicalId":234597,"journal":{"name":"MULTIMEDIA '00","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Document image retrieval without OCRing using a video scanning system\",\"authors\":\"E. Kuruoğlu, Vern T. Tan\",\"doi\":\"10.1145/357744.357950\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a technique for efficient document retrieval from digital libraries containing document images which are token based compressed. The query image is captured from a paper document by the video scanning tool of a multimedia system. The technique we propose uses the layout information supplied by the relative positions of the character tokens on the page of a “query” paper document to retrieve the original document in the image database. This technique avoids OCRing the query document and the documents in the database; moreover avoids decompressing the token based compressed documents in the database, therefore achieving important time and computational gains.\",\"PeriodicalId\":234597,\"journal\":{\"name\":\"MULTIMEDIA '00\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MULTIMEDIA '00\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/357744.357950\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MULTIMEDIA '00","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/357744.357950","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在本文中,我们提出了一种从包含基于令牌压缩的文档图像的数字图书馆中高效检索文档的技术。查询图像由多媒体系统的视频扫描工具从纸质文档中捕获。我们提出的技术使用“查询”纸质文档页面上字符记号的相对位置提供的布局信息来检索图像数据库中的原始文档。这种技术避免了对查询文档和数据库中的文档进行OCRing;此外,避免了对数据库中基于令牌的压缩文档进行解压缩,从而获得了重要的时间和计算收益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Document image retrieval without OCRing using a video scanning system
In this paper, we propose a technique for efficient document retrieval from digital libraries containing document images which are token based compressed. The query image is captured from a paper document by the video scanning tool of a multimedia system. The technique we propose uses the layout information supplied by the relative positions of the character tokens on the page of a “query” paper document to retrieve the original document in the image database. This technique avoids OCRing the query document and the documents in the database; moreover avoids decompressing the token based compressed documents in the database, therefore achieving important time and computational gains.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信