Invention Grant
- Patent Title: Identifying matching canonical documents consistent with visual query structural information
- Patent Title (中): 识别与视觉查询结构信息一致的匹配规范文档
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Application No.: US14445420Application Date: 2014-07-29
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Publication No.: US09087235B2Publication Date: 2015-07-21
- Inventor: David Petrou , Ashok C. Popat , Matthew R. Casey
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00 ; G06F17/30 ; G06K9/03 ; G06K9/72

Abstract:
A server system receives a visual query from a client system, performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region of the visual query. The server system also produces structural information associated with the textual characters in the visual query. Textual characters in the plurality of textual characters are scored. The method further includes identifying, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query. A canonical document that includes the one or more high quality textual strings and that is consistent with the structural information is retrieved. At least a portion of the canonical document is sent to the client system.
Public/Granted literature
- US20140334746A1 Identifying Matching Canonical Documents Consistent With Visual Query Structural Information Public/Granted day:2014-11-13
Information query