Patents by Inventor Tal Taz Azogui

Tal Taz Azogui 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).

  • Scalable video encoding rate adaptation based on perceived quality
    Patent number: 9591316
    Abstract: Multi-layered video structures are scaled over a range of perceived quality levels. An estimated Mean Opinion Score (eMOS)-based encoder control loop is utilized to determine one or more encoder key performance index (KPI) associated with a particular perceived quality level. A KPI-based encoder control loop is then utilized to guide generation of a hierarchical structure having quality and/or temporal and/or spatial enhancement layers, without recalculating eMOS for the scalable structure. In addition, eMOS is used to guide the generation of a hierarchical structure at best-perceived quality levels for a given bitrate budget. Rate adaptation may occur by dropping segments, changing hierarchical structure, or changing the KPI target values. With the structure scaled as a function of perceived quality, perceived quality is impacted predictably as the encoding rate is adapted.
    Type: Grant
    Filed: March 27, 2014
    Date of Patent: March 7, 2017
    Assignee: Intel IP Corporation
    Inventors: Vered Bar Bracha, Segev Ravgad, Tal Taz Azogui, Yiting Liao, Vallabhajosyula Zulu Somayazulu
  • SCALABLE VIDEO ENCODING RATE ADAPTATION BASED ON PERCEIVED QUALITY
    Publication number: 20150281709
    Abstract: Multi-layered video structures are scaled over a range of perceived quality levels. An estimated Mean Opinion Score (eMOS)-based encoder control loop is utilized to determine one or more encoder key performance index (KPI) associated with a particular perceived quality level. A KPI-based encoder control loop is then utilized to guide generation of a hierarchical structure having quality and/or temporal and/or spatial enhancement layers, without recalculating eMOS for the scalable structure. In addition, eMOS is used to guide the generation of a hierarchical structure at best-perceived quality levels for a given bitrate budget. Rate adaptation may occur by dropping segments, changing hierarchical structure, or changing the KPI target values. With the structure scaled as a function of perceived quality, perceived quality is impacted predictably as the encoding rate is adapted.
    Type: Application
    Filed: March 27, 2014
    Publication date: October 1, 2015
    Inventors: Vered Bar Bracha, Segev Ravgad, Tal Taz Azogui, Yiting Liao, Vallabhajosyula Zulu Somayazulu