Invention Grant
- Patent Title: Identifying textual terms in response to a visual query
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Application No.: US14596081Application Date: 2015-01-13
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Publication No.: US09372920B2Publication Date: 2016-06-21
- Inventor: Samy Bengio , David Petrou
- 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: G06F7/00
- IPC: G06F7/00 ; G06F17/30

Abstract:
A method, system, and computer readable storage medium is provided for identifying textual terms in response to a visual query is provided. A server system receives a visual query from a client system. The visual query is responded to as follows. A set of image feature values for the visual query is generated. The set of image feature values is mapped to a plurality of textual terms, including a weight for each of the textual terms in the plurality of textual terms. The textual terms are ranked in accordance with the weights of the textual terms. Then, in accordance with the ranking the textual terms, one or more of the ranked textual terms are sent to the client system.
Public/Granted literature
- US20150193528A1 Identifying Textual Terms in Response to a Visual Query Public/Granted day:2015-07-09
Information query