Patents by Inventor Andreas PANAYIDES

Andreas PANAYIDES 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).

  • System and methods for joint and adaptive control of rate, quality, and computational complexity for video coding and video delivery
    Patent number: 11076153
    Abstract: System and methods for the joint control of reconstructed video quality, computational complexity and compression rate for intra-mode and inter-mode video encoding in HEVC. The invention provides effective methods for (i) generating a Pareto front for intra-coding by varying CTU parameters and the QP, (ii) generating a Pareto front for inter-coding by varying GOP configurations and the QP, (iii) real-time and offline Pareto model front estimation using regression methods, (iv) determining the optimal encoding configurations based on the Pareto model by root finding and local search, and (v) robust adaptation of the constraints and model updates at both the CTU and GOP levels.
    Type: Grant
    Filed: July 31, 2016
    Date of Patent: July 27, 2021
    Inventors: Marios Stephanou Pattichis, Yuebing Jiang, Cong Zong, Gangadharan Esakki, Venkatesh Jatla, Andreas Panayides
  • SYSTEM AND METHODS FOR JOINT AND ADAPTIVE CONTROL OF RATE, QUALITY, AND COMPUTATIONAL COMPLEXITY FOR VIDEO CODING AND VIDEO DELIVERY
    Publication number: 20180220133
    Abstract: System and methods for the joint control of reconstructed video quality, computational complexity and compression rate for intra-mode and inter-mode video encoding in HEVC. The invention provides effective methods for (i) generating a Pareto front for intra-coding by varying CTU parameters and the QP, (ii) generating a Pareto front for inter-coding by varying GOP configurations and the QP, (iii) real-time and offline Pareto model front estimation using regression methods, (iv) determining the optimal encoding configurations based on the Pareto model by root finding and local search, and (v) robust adaptation of the constraints and model updates at both the CTU and GOP levels.
    Type: Application
    Filed: July 31, 2016
    Publication date: August 2, 2018
    Inventors: Marios Stephanou PATTICHIS, Yuebing JIANG, Cong ZONG, Gangadharan ESAKKI, Venkatesh JATLA, Andreas PANAYIDES