Patents by Inventor Adam Schill Collberg

Adam Schill Collberg 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).

  • Training of an object recognition neural network
    Patent number: 11756303
    Abstract: A method of transfer learning an object recognition neural network comprises acquiring a set of image frames; determining, by a first object recognition algorithm implementing an object recognition neural network, a plurality of object recognitions in the set of image frames; determining verified object recognitions by evaluating the plurality of object recognitions by a second, different from the first, object recognition algorithm, wherein an object recognition with a positive outcome in said evaluating forms a verified object recognition; forming a training set of annotated images comprising image frames associated with the verified object recognitions; performing transfer learning of the object recognition neural network based on the training set of annotated images.
    Type: Grant
    Filed: April 23, 2021
    Date of Patent: September 12, 2023
    Assignee: Axis AB
    Inventor: Adam Schill Collberg
  • Method for intra refresh encoding of a plurality of image frames using convex and concave distribution functions
    Patent number: 11223834
    Abstract: Video encoding, and specifically to a method and an encoder which can adapt the probability of intra refresh of image frame subdivisions based on a count of image frames since a previous refresh and modulated through convex or concave shaped distribution functions are set forth herein.
    Type: Grant
    Filed: October 14, 2020
    Date of Patent: January 11, 2022
    Assignee: AXIS AB
    Inventors: Xing Danielsson Fan, Maya Shah, Mattias Pettersson, Adam Schill Collberg, Fredrik Pihl, Magnus Söderdahl, Peter Wilhelmsson
  • TRAINING OF AN OBJECT RECOGNITION NEURAL NETWORK
    Publication number: 20210406604
    Abstract: A method of transfer learning an object recognition neural network comprises acquiring a set of image frames; determining, by a first object recognition algorithm implementing an object recognition neural network, a plurality of object recognitions in the set of image frames; determining verified object recognitions by evaluating the plurality of object recognitions by a second, different from the first, object recognition algorithm, wherein an object recognition with a positive outcome in said evaluating forms a verified object recognition; forming a training set of annotated images comprising image frames associated with the verified object recognitions; performing transfer learning of the object recognition neural network based on the training set of annotated images.
    Type: Application
    Filed: April 23, 2021
    Publication date: December 30, 2021
    Applicant: Axis AB
    Inventor: Adam Schill COLLBERG
  • Method and system for adjusting an image pipeline setting
    Patent number: 11165998
    Abstract: A method of determining adjustment of an image pipeline setting comprises determining, by a controller, one or more settings for image data processing in the image pipeline; associating the one or more settings with a tag; transmitting the one or more settings to the image pipeline, wherein the tag is transmitted in association with the one or more settings; transmitting, from the image pipeline to the controller, feedback regarding image data processed with the one or more settings, wherein the tag is transmitted in association with the feedback; and determining, based on the received feedback and the one or more settings associated with the tag, an adjustment of the image pipeline setting.
    Type: Grant
    Filed: December 17, 2019
    Date of Patent: November 2, 2021
    Assignee: AXIS AB
    Inventors: Michael Evehammar, Andreas Johansson, Mikael Starvik, Stefan Ekenberg, Adam Schill Collberg, Henrik Fasth, Magnus Martensson, Martin Santesson
  • METHOD FOR INTRA REFRESH ENCODING OF A PLURALITY OF IMAGE FRAMES USING CONVEX AND CONCAVE DISTRIBUTION FUNCTIONS
    Publication number: 20210168379
    Abstract: Video encoding, and specifically to a method and an encoder which can adapt the probability of intra refresh of image frame subdivisions based on a count of image frames since a previous refresh and modulated through convex or concave shaped distribution functions are set forth herein.
    Type: Application
    Filed: October 14, 2020
    Publication date: June 3, 2021
    Applicant: Axis AB
    Inventors: Xing Danielsson FAN, Maya SHAH, Mattias PETTERSSON, Adam Schill COLLBERG, Fredrik PIHL, Magnus SÖDERDAHL, Peter WILHELMSSON
  • METHOD AND SYSTEM FOR ADJUSTING AN IMAGE PIPLINE SETTING
    Publication number: 20200204774
    Abstract: A method of determining adjustment of an image pipeline setting comprises determining, by a controller, one or more settings for image data processing in the image pipeline; associating the one or more settings with a tag; transmitting the one or more settings to the image pipeline, wherein the tag is transmitted in association with the one or more settings; transmitting, from the image pipeline to the controller, feedback regarding image data processed with the one or more settings, wherein the tag is transmitted in association with the feedback; and determining, based on the received feedback and the one or more settings associated with the tag, an adjustment of the image pipeline setting.
    Type: Application
    Filed: December 17, 2019
    Publication date: June 25, 2020
    Applicant: Axis AB
    Inventors: Michael Evehammar, Andreas Johansson, Mikael Starvik, Stefan Ekenberg, Adam Schill Collberg, Henrik Fasth, Magnus Martensson, Martin Santesson