DocumentCode :
1634934
Title :
Google Newspaper Search – Image Processing and Analysis Pipeline
Author :
Chaudhury, Krishnendu ; Jain, Ankur ; Thirthala, Sriram ; Sahasranaman, Vivek ; Saxena, Shobhit ; Mahalingam, Selvam
Author_Institution :
Google Eng., CA, USA
fYear :
2009
Firstpage :
621
Lastpage :
625
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 ldquoHitler deathrdquo, 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).
Keywords :
document image processing; publishing; search engines; Google newspaper search program; OCR engine; image processing; microfilm image; nonuniform illumination; Image analysis; Image processing; Image recognition; Image segmentation; Indexing; Lighting; Optical character recognition software; Pipelines; Text analysis; White spaces; document image processing; image binarization; newspaper front page identification; newspaper page layout detection; page orientation detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
ISSN :
1520-5363
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2009.272
Filename :
5277572
Link To Document :
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