Patents by Inventor Toma Belenzada

Toma Belenzada 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).

  • Patent number: 11586666
    Abstract: Various embodiments of systems and methods allow a system to identify subsets of items by mixing and matching identified features in one or more other items. A system can identify features of items in an item database. The system can then calculate “fingerprints” of these features which are vectors describing the characteristics of the features. The system can present a collection of items and a user can select an item of the collection. The user can then select positive features to include in a search and/or negative features to include in the search. The system can then do a search of the database for items that contain features similar to those positive features and do not contain features similar to those negative features. The user can select features through a variety of means.
    Type: Grant
    Filed: June 22, 2020
    Date of Patent: February 21, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Nikhil Garg, Toma Belenzada, Sabine Sternig, Brad Bowman, Zohar Barzelay
  • Patent number: 11341660
    Abstract: System and methods are provided for improved visual search systems that can use local features of images. The search system provides a user interface that enables a user to select areas or portions of an image to search on the selected features and the overall appearance of the image. The search system further provides customized user interfaces to exclude certain portions of images from the search algorithms. The search system can be used to detect potential intellectual property risks associated with items in an electronic catalog.
    Type: Grant
    Filed: March 30, 2020
    Date of Patent: May 24, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Nikhil Garg, Brad Bowman, Toma Belenzada, Michael Donoser
  • Publication number: 20200320118
    Abstract: Various embodiments of systems and methods allow a system to identify subsets of items by mixing and matching identified features in one or more other items. A system can identify features of items in an item database. The system can then calculate “fingerprints” of these features which are vectors describing the characteristics of the features. The system can present a collection of items and a user can select an item of the collection. The user can then select positive features to include in a search and/or negative features to include in the search. The system can then do a search of the database for items that contain features similar to those positive features and do not contain features similar to those negative features. The user can select features through a variety of means.
    Type: Application
    Filed: June 22, 2020
    Publication date: October 8, 2020
    Inventors: Nikhil Garg, Toma Belenzada, Sabine Sternig, Brad Bowman, Zohar Barzelay
  • Patent number: 10747807
    Abstract: Various embodiments of systems and methods allow a system to identify subsets of items by mixing and matching identified features in one or more other items. A system can identify features of items in an item database. The system can then calculate “fingerprints” of these features which are vectors describing the characteristics of the features. The system can present a collection of items and a user can select an item of the collection. The user can then select positive features to include in a search and/or negative features to include in the search. The system can then do a search of the database for items that contain features similar to those positive features and do not contain features similar to those negative features. The user can select features through a variety of means.
    Type: Grant
    Filed: September 10, 2018
    Date of Patent: August 18, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Nikhil Garg, Toma Belenzada, Sabine Sternig, Brad Bowman, Zohar Barzelay