Title:
TECHNIQUES FOR MACHINE LANGUAGE TRANSLATION OF TEXT FROM AN IMAGE BASED ON NON-TEXTUAL CONTEXT INFORMATION FROM THE IMAGE
Document Type and Number:
WIPO Patent Application WO/2015/200110
Kind Code:
A3
Abstract:
A computer-implemented technique can include receiving, at a server from a mobile computing device, the server having one or more processors, an image including a text. The technique can include obtaining, at the server, optical character recognition (OCR) text corresponding to the text, the OCR text having been obtained by performing OCR on the image. The technique can include identifying, at the server, non-textual context information from the image, the non-textual context information (i) representing context information other than the text itself and (ii) being indicative of a context of the image. The technique can include based on the non-textual context information, obtaining, at the server, a translation of the OCR text to a target language to obtain a translated OCR text. The technique can include outputting, from the server to the mobile computing device, the translated OCR text.
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Inventors:
MAUSER ARNE (US)
CUTHBERT ALEXANDER JAY (US)
DENERO JOHN STURDY (US)
CUTHBERT ALEXANDER JAY (US)
DENERO JOHN STURDY (US)
Application Number:
PCT/US2015/036603
Publication Date:
February 25, 2016
Filing Date:
June 19, 2015
Export Citation:
Assignee:
GOOGLE INC (US)
International Classes:
G06F17/28; G06V30/262; G06V30/10
Foreign References:
US20140081619A1 | 2014-03-20 | |||
US20130108115A1 | 2013-05-02 |
Attorney, Agent or Firm:
SCHALDENBRAND, Michael A. et al. (P.O. Box 210958Auburn Hills, Michigan, US)
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