Invention Grant
- Patent Title: Analyzing content of digital images
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Application No.: US15483291Application Date: 2017-04-10
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Publication No.: US10373012B2Publication Date: 2019-08-06
- Inventor: Huguens Jean , Yoriyasu Yano , Hui Peng Hu , Kuang Chen
- Applicant: Captricity, Inc.
- Applicant Address: US CA Oakland
- Assignee: CAPTRICITY, INC.
- Current Assignee: CAPTRICITY, INC.
- Current Assignee Address: US CA Oakland
- Agency: Perkins Coie LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46 ; G06F16/583

Abstract:
Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
Public/Granted literature
- US20170255840A1 ANALYZING CONTENT OF DIGITAL IMAGES Public/Granted day:2017-09-07
Information query