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Proceedings Paper

Image-based mobile service: automatic text extraction and translation
Author(s): Jérôme Berclaz; Nina Bhatti; Steven J. Simske; John C. Schettino
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Paper Abstract

We present a new mobile service for the translation of text from images taken by consumer-grade cell-phone cameras. Such capability represents a new paradigm for users where a simple image provides the basis for a service. The ubiquity and ease of use of cell-phone cameras enables acquisition and transmission of images anywhere and at any time a user wishes, delivering rapid and accurate translation over the phone's MMS and SMS facilities. Target text is extracted completely automatically, requiring no bounding box delineation or related user intervention. The service uses localization, binarization, text deskewing, and optical character recognition (OCR) in its analysis. Once the text is translated, an SMS message is sent to the user with the result. Further novelties include that no software installation is required on the handset, any service provider or camera phone can be used, and the entire service is implemented on the server side.

Paper Details

Date Published: 27 January 2010
PDF: 12 pages
Proc. SPIE 7542, Multimedia on Mobile Devices 2010, 754204 (27 January 2010); doi: 10.1117/12.840279
Show Author Affiliations
Jérôme Berclaz, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Nina Bhatti, Hewlett-Packard Labs. (United States)
Steven J. Simske, Hewlett-Packard Labs. (United States)
John C. Schettino, Hewlett-Packard Labs. (United States)

Published in SPIE Proceedings Vol. 7542:
Multimedia on Mobile Devices 2010
Reiner Creutzburg; David Akopian, Editor(s)

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