Invention Grant
- Patent Title: Techniques for spatial semantic attribute matching for location identification
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Application No.: US13710392Application Date: 2012-12-10
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Publication No.: US09251433B2Publication Date: 2016-02-02
- Inventor: Liangliang Cao , Noel C. F. Codella , Gang Hua , Gong Leiguang , Apostol I. Natsev , John R. Smith
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Michael J. Chang, LLC
- Agent Daniel P. Morris
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00

Abstract:
Techniques for spatial semantic attribute matching on image regions for location identification based on a reference dataset are provided. In one aspect, a method for matching images from heterogeneous sources is provided. The method includes the steps of: (a) parsing the images into different semantic labeled regions; (b) creating a list of potential matches by matching the images based on two or more of the images having same semantic labeled regions; and (c) pruning the list of potential matches created in step (b) by taking into consideration spatial arrangements of the semantic labeled regions in the images.
Public/Granted literature
- US20140161362A1 Techniques for Spatial Semantic Attribute Matching for Location Identification Public/Granted day:2014-06-12
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