Patents by Inventor Ahmed Aly Saad Ahmed

Ahmed Aly Saad Ahmed 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).

  • Publication number: 20240112703
    Abstract: Disclosed are various embodiments for seamless insertion of modified media content. In one embodiment, a modified portion of video content is received. The modified portion has a start cue point and an end cue point that are set relative to a modification to the video content to indicate respectively when the modification approximately begins and ends compared to the video content. A video coding associated with the video content is identified. The start cue point and/or the end cue point are dynamically adjusted to align the modified portion with the video content based at least in part on the video coding.
    Type: Application
    Filed: September 30, 2022
    Publication date: April 4, 2024
    Inventors: Yongjun Wu, Hyo In James Moon, Abhishek Kumar, Ahmed Aly Saad Ahmed, Sitaraman Ganapathy, Steven James Cox, Yash Chaturvedi
  • Patent number: 11928880
    Abstract: Techniques are disclosed for detecting an uncovered portion of a body of a person in a frame of video content. In an example, a first machine learning model of a computing system may output a first score for the frame based on a map that identifies a region of the frame associated with an uncovered body part type. Depending on a value of the first score, a second machine learning model that includes a neural network architecture may further analyze the frame to output a second score. The first score and second score may be merged to produce a third score for the frame. A plurality of scores may be determined, respectively, for frames of the video content, and a maximum score may be selected. The video content may be selected for presentation on a display for further evaluation based on the maximum score.
    Type: Grant
    Filed: March 29, 2021
    Date of Patent: March 12, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Xiaohang Sun, Mohamed Kamal Omar, Alexander Ratnikov, Ahmed Aly Saad Ahmed, Tai-Ching Li, Travis Silvers, Hanxiao Deng, Muhammad Raffay Hamid, Ivan Ryndin
  • Patent number: 11657850
    Abstract: Techniques are described for automating virtual placements in video content.
    Type: Grant
    Filed: December 9, 2020
    Date of Patent: May 23, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Ahmed Aly Saad Ahmed, Muhammad Raffay Hamid, Yongjun Wu, Yash Chaturvedi, Steven James Cox, Travis Silvers, Amit S. Jain, Amjad Y. A. Abu Jbara, Prasanth Saraswatula
  • Patent number: 11589116
    Abstract: Techniques are disclosed for detecting a type of prurient activity shown by a portion of video content. In an example, a machine learning model of a computer system may receive a second portion of video content, the machine learning model including a neural network that is trained to analyze a temporal dimension of the second portion. The machine learning model determines a score indicating a likelihood that the video content shows the type of prurient activity based in part on applying a three-dimensional filter to the second portion of the video content. The computer system then generates a video clip that includes at least the portion of the video content showing the type of prurient activity based on the score, and provides the video clip for display.
    Type: Grant
    Filed: May 3, 2021
    Date of Patent: February 21, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Mohamed Kamal Omar, Xiaohang Sun, Ivan Ryndin, Tai-Ching Li, Alexander Ratnikov, Muhammad Raffay Hamid, Ahmed Aly Saad Ahmed, Travis Silvers, Hanxiao Deng
  • Publication number: 20220180898
    Abstract: Techniques are described for automating virtual placements in video content.
    Type: Application
    Filed: December 9, 2020
    Publication date: June 9, 2022
    Inventors: Ahmed Aly Saad Ahmed, Muhammad Raffay Hamid, Yongjun Wu, Yash Chaturvedi, Steven James Cox, Travis Silvers, Amit S. Jain, Amjad Y. A. Abu Jbara, Prasanth Saraswatula
  • Patent number: 10686810
    Abstract: Systems and methods for security in power systems are provided. A security-aware distributed control framework for resilient operation of power systems can detect and mitigate different types of attacks that might target power systems. The framework can discover a change in the features of transmitted data from neighbor agents, discard an infected agent, and achieve an updated consensus protocol agreement while satisfying a control system objective.
    Type: Grant
    Filed: February 5, 2020
    Date of Patent: June 16, 2020
    Assignee: The Florida International University Board of Trustees
    Inventors: Ahmed Aly Saad Ahmed, Samy Gamal Faddel Mohamed, Osama Mohammed
  • Patent number: 10558783
    Abstract: This disclosure describes techniques that relate generally to the collection, processing, storage, and graphical representation of medical imaging data associated with patient care. Medical imaging data may be processed using object recognition algorithms to help determined pertinent medical characteristics. Further, a graphical fusion application may generate a graphical representation of medical data that is based at least in part on a combination of medical imaging data and corresponding interpretation data. The graphical representation may overlay a schematic diagram of a relevant organ system, so as to provide a medical practitioner with a visual, more specifically graphical, indication of the medical imaging data. Interpretation data of pertinent medical characteristics may be generated by an automated analysis of the medical imaging data.
    Type: Grant
    Filed: October 31, 2016
    Date of Patent: February 11, 2020
    Assignee: MEDSTREAMING, INC.
    Inventors: Ahmed Aly Saad Ahmed, Evert de Vries, Wael Elseaidy
  • Publication number: 20190148006
    Abstract: Techniques are described for analyzing patient image data relative to stored medical image data. A Registry & Image Data Analytics (RIDA) system is described that is configured to analyze medical image data, generate corresponding metadata, and selectively store the medical image data, and metadata, within a registry & image data repository. The RIDA system may be configured to extract pertinent medical data from medical image data that is related to patient care, medical examinations and/or medical research. In doing so, the RIDA system may infer a medical diagnosis based on an analysis of patient image data. Additionally, the RIDA system may infer the validity of a medical hypothesis based at least in part on an analysis of patient image data. The RIDA system may also generate and store a synthesized expression of a text-based or audio-based user input into patient image data and/or corresponding registry data record.
    Type: Application
    Filed: November 15, 2018
    Publication date: May 16, 2019
    Inventors: Ahmed Aly Saad AHMED, Wael ELSEAIDY, Ewald de VRIES
  • Patent number: D828365
    Type: Grant
    Filed: October 31, 2016
    Date of Patent: September 11, 2018
    Assignee: MEDSTREAMING, LLC
    Inventors: Wael Elseaidy, Evert de Vries, Ahmed Aly Saad Ahmed
  • Patent number: D840416
    Type: Grant
    Filed: March 21, 2018
    Date of Patent: February 12, 2019
    Assignee: MEDSTREAMING, LLC
    Inventors: Ahmed Aly Saad Ahmed, Evert de Vries, Wael Elseaidy
  • Patent number: D840417
    Type: Grant
    Filed: March 21, 2018
    Date of Patent: February 12, 2019
    Assignee: MEDSTREAMING, LLC
    Inventors: Ahmed Aly Saad Ahmed, Evert de Vries, Wael Elseaidy
  • Patent number: D840418
    Type: Grant
    Filed: March 21, 2018
    Date of Patent: February 12, 2019
    Assignee: MEDSTREAMING, LLC
    Inventors: Ahmed Aly Saad Ahmed, Evert de Vries, Wael Elseaidy
  • Patent number: D840419
    Type: Grant
    Filed: March 21, 2018
    Date of Patent: February 12, 2019
    Assignee: MEDSTREAMING, LLC
    Inventors: Ahmed Aly Saad Ahmed, Evert de Vries, Wael Elseaidy