• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Scopus
  4. A Study on Data-Driven Probability Estimator Design for Video Coding
 
  • Details
  • Full
Options
2023
Conference Paper
Title

A Study on Data-Driven Probability Estimator Design for Video Coding

Abstract
Data-driven optimization is employed to study alternative approaches [1] to the probability estimator of the the Enhanced Compression Model (ECM) (which includes additional coding tools on top of the Versatile Video Coding standard). In ECM, each context model uses a weighted sum of two hypotheses for probability estimation with different associated adaptation rates. Four alternative approaches are studied:
Author(s)
Kirchhoffer, Heiner  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Rudat, Christian
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Schäfer, Michael
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Pfaff, Jonathan
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Schwarz, Heiko  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Marpe, Detlev  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Wiegand, Thomas  
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Mainwork
DCC 2023, Data Compression Conference. Proceedings  
Conference
Data Compression Conference 2023  
DOI
10.1109/DCC55655.2023.00081
Language
English
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Keyword(s)
  • entropy coding

  • probability estimation

  • video coding

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024