An adaptive workload management scheme for HEVC encoding

Mateus Grellert, Muhammad Shafique, Muhammad Usman Karim Khan, Luciano Agostini, Julio C.B. Mattos, Jörg Henkel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Managing the complexity of the emerging HEVC standard is a matter of academic and industrial research since its earlier versions. The sophisticated and computation-intensive tools involved in the encoding process must be leveraged if real-time applications are considered. In this paper, we propose a workload management scheme for dynamically controlling the computational complexity of HEVC, under user-defined operation frequency and target FPS. Our scheme receives these two parameters as input and aims to meet the target FPS by adjusting different encoding parameters during execution time. Experiments demonstrate that our scheme successfully meets the target FPS while introducing negligible rate-distortion losses. A comparison with state-of-the-art shows that our scheme is capable of achieving a time reduction of up to 43% for Full HD sequences, with a maximum loss of 0.03 dB in Y-PSNR and a 3.5% increase in bitrate.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Pages1850-1854
Number of pages5
DOIs
StatePublished - 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: Sep 15 2013Sep 18 2013

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Other

Other2013 20th IEEE International Conference on Image Processing, ICIP 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period9/15/139/18/13

Keywords

  • complexity control
  • HEVC
  • video coding
  • workload management

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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