谷歌报纸搜索-图像处理和分析管道

K. Chaudhury, Ankur Jain, S. Thirthala, Vivek Sahasranaman, Shobhit Saxena, Selvam Mahalingam
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引用次数: 15

摘要

谷歌报纸搜索计划于2008年9月8日推出。在本文中,我们概述了这个大型复杂项目背后的技术部分。我们已经创建了一个以报纸微电影为输入,以个别新闻文章为输出的生产管道。然后将这些文章编入索引并添加到内容库中,以便它们在Google搜索中出现。因此,在谷歌搜索“希特勒之死”时,我们能够显示从报道当天开始的报纸文章,随着时间的推移,这些文章真实而公正。光照不均匀,微胶片图像中存在明显的噪声、撕裂和划痕,这些都对这个项目提出了特殊的挑战。不同报纸和时代布局的显著变化,单个页面中字体大小的变化(这会混淆OCR引擎),使问题复杂化。该项目在最初发布后仍在继续(大约有1500万篇新闻文章)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Google Newspaper Search – Image Processing and Analysis Pipeline
The Google Newspaper Search program was launched on September 8, 2008. In this paper, we outline the technology pieces underlying this large and complex project. We have created a production pipeline which takes newspaper microfilms as input and emits individual news articles as output. These articles are then indexed and added to the content base, so that they turn up in response to Google searches. Thus, in response to a Google query “Hitler death”, we are able to show newspaper articles from the very day it was reported, authentic and unbiased by passage of time. Non-uniform illumination, presence of significant noise, tears and scratches in the microfilm image, all pose special challenges for this project. The significant variation of layouts across newspapers and time eras, the variations in font sizes occurring in a single page (which confuses the OCR engine) compound the difficulties. The project is still going on after the initial launch was made (with about 15 million news articles).
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