Patents by Inventor Mohammad Adil HAFEEZ

Mohammad Adil HAFEEZ has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Discovering authoritative images of people entities
    Patent number: 10509963
    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.
    Type: Grant
    Filed: December 20, 2012
    Date of Patent: December 17, 2019
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Ayman Malek Abdel Hamid Kaheel, Padma Priya Gaggara, Prakash Asirvatham Arul, Mohammad Adil Hafeez, Dhananjay Dilip Kulkarni, Kancheng Cao
  • DISCOVERING AUTHORITATIVE IMAGES OF PEOPLE ENTITIES
    Publication number: 20140177966
    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.
    Type: Application
    Filed: December 20, 2012
    Publication date: June 26, 2014
    Applicant: MICROSOFT CORPORATION
    Inventors: Ayman Malek Abdel Hamid KAHEEL, Padma Priya GAGGARA, Prakash Asirvatham ARUL, Mohammad Adil HAFEEZ, Dhananjay Dilip KULKARNI, Kancheng CAO