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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chaudhury, K. Jain, A. Thirthala, S. Sahasranaman, V. Saxena, S. Mahalingam, S. |
| Copyright Year | 2009 |
| Abstract | 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). |
| Starting Page | 621 |
| Ending Page | 625 |
| File Size | 2164795 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424445004 |
| ISSN | 15205363 |
| DOI | 10.1109/ICDAR.2009.272 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-26 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image processing Image analysis Pipelines Image segmentation White spaces Image recognition Lighting Optical character recognition software Indexing Text analysis page orientation detection document image processing newspaper page layout detection image binarization newspaper front page identification |
| Content Type | Text |
| Resource Type | Article |
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