Reformatting of context sensitive data

Patent metadata

Field	Value
Publication number	US-2016357732-A1
Application number	US-201514925780-A
Country	US
Kind code	A1
Filing date	Oct 28, 2015
Priority date	Jun 5, 2015
Publication date	Dec 8, 2016
Grant date	—

Abstract

A method for dynamically detecting and converting a context-sensitive information in a first language and a first format to a second language and a second format that is understandable to an end user based on a user-specified setting is provided. The method may use a built-in camera of a computing device to dynamically detect and capture an image frame of context-sensitive information. The method may use Optical character recognition (OCR), as well as contextual information such as GPS data available from a mobile computing device, to automatically translate and reformat the context-sensitive information in real-time so a user may understand it unambiguously.

First claim

What is claimed is:

1 . A method for reformatting a text phrase, comprising:
capturing, by a computing device, a first text having a first format; identifying a context of the first text based on the first format; and converting the first text from the first format to a second format associated with the context.

2 . The method of claim 1 , further comprising:
identifying a first language associated with the first text; and translating the first text from the first language to a second language.

3 . The method of claim 1 , wherein identifying the context is based on one or more of a location, format, abbreviation, sign, color, icon, currency symbol, date, time, cosmetic product batch number, notation specific to a social group, and metadata associated with the first text.

4 . The method of claim 1 , further comprising:
displaying the first text in the second format as an image on a display device of a computing device in real-time.

5 . The method of claim 1 , wherein converting the first text from the first format to the second format comprises:
searching a database to locate the second format that corresponds to the first format.

6 . The method of claim 1 , wherein identifying the context comprises:
searching a social database to find one or more texts having formats matching the first format; identifying a first context corresponding to the one or more texts; and determining the context of the first text based on the first context corresponding to the one or more texts.

7 . The method of claim 1 , further comprising:
capturing an image, of one or more of a label and a logo located within a defined proximity to the first text, with an image capturing device; searching a social database to find one or more of labels and logos matching those in the captured image; identifying a first context corresponding to the one or more matching labels and logos; and determining the context of the first text based on the first context corresponding to the one or more matching labels and logos.

8 . The method of claim 1 , wherein the context is a date, and the first format is a date format in a first language, and the second format is a date format in a second language.

9 . The method of claim 1 , further comprising:
uploading the first text having the first format to a social network; generating a query on the social network to seek inputs from a plurality of users on the social network to identify a first context corresponding to the first text based on the first format; and determining the context of the first text based on the first context identified from inputs from the plurality of users.

10 . The method of claim 1 , further comprising:
uploading the first text having the first format to a social network; generating a query on the social network to seek inputs from a plurality of users on the social network to identify a first context corresponding to the first text based on the first format; determining the context of the first text based on the first context identified from inputs from the plurality of users; and storing the context of the first text in a database.

11 . The method of claim 1 , wherein capturing the first text comprises:
receiving an image from an image capturing device; and performing character recognition on the image to identify a text present within the image to generate a recognized character string comprising the first text.

Assignees

• IBM

Inventors

• Hsu Yu-Ning
• Liao Elaine Ih
• Lin Chih-Yuan
• Yu cheng-yu

Classifications

• G06V30/262

  using context analysis, e.g. lexical, syntactic or semantic context · CPC title

• G06F40/58 Primary

  Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation · CPC title

• G06Q10/40 Primary

  Business processes related to social networking or social networking services · CPC title

• G06F40/263

  Language identification · CPC title

• G06F40/103

  Formatting, i.e. changing of presentation of documents (automatic justification G06F40/189; automatic line break hyphenation G06F40/191) · CPC title