Invention Grant
US09436682B2 Techniques for machine language translation of text from an image based on non-textual context information from the image
有权
基于来自图像的非文本上下文信息的来自图像的文本的机器语言翻译的技术
- Patent Title: Techniques for machine language translation of text from an image based on non-textual context information from the image
- Patent Title (中): 基于来自图像的非文本上下文信息的来自图像的文本的机器语言翻译的技术
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Application No.: US14313670Application Date: 2014-06-24
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Publication No.: US09436682B2Publication Date: 2016-09-06
- Inventor: Arne Mauser , Alexander Jay Cuthbert , John Sturdy DeNero
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Remarck Law Group PLC
- Main IPC: G06K9/72
- IPC: G06K9/72 ; G06F17/28 ; G06K9/00 ; G06K9/32

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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