Invention Grant
- Patent Title: Discovering authoritative images of people entities
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Application No.: US13722085Application Date: 2012-12-20
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Publication No.: US10509963B2Publication Date: 2019-12-17
- Inventor: Ayman Malek Abdel Hamid Kaheel , Padma Priya Gaggara , Prakash Asirvatham Arul , Mohammad Adil Hafeez , Dhananjay Dilip Kulkarni , Kancheng Cao
- Applicant: MICROSOFT CORPORATION
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee Address: US WA Redmond
- Agency: Shook, Hardy & Bacon, L.L.P.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06F16/951 ; G06F16/9535

Abstract:
Systems, methods, and computer storage media for discovering authoritative images of people entities are provided. Selections of person entities are received. Authoritative URLs and authoritative images for the person entities are identified. Once the authoritative images are identified, features are extracted. Queries for the person entities are identified by mining search engine logs. The queries and features can be utilized to construct candidate queries to identify and retrieve candidate image URLs. Candidate features are extracted for each candidate image associated with the candidate image URLs. Training data may be utilized to train a classifier that can be run on each candidate image. Each candidate image can then be tagged with an entity ID tag. Images with the entity ID tag can be ranked higher in search engine results page than images without the entity ID tag.
Public/Granted literature
- US20140177966A1 DISCOVERING AUTHORITATIVE IMAGES OF PEOPLE ENTITIES Public/Granted day:2014-06-26
Information query