@inproceedings{8f667090992e432aad254a9998030e35,
title = "An adaptive workload management scheme for HEVC encoding",
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.",
keywords = "complexity control, HEVC, video coding, workload management",
author = "Mateus Grellert and Muhammad Shafique and Khan, {Muhammad Usman Karim} and Luciano Agostini and Mattos, {Julio C.B.} and J{\"o}rg Henkel",
note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; 2013 20th IEEE International Conference on Image Processing, ICIP 2013 ; Conference date: 15-09-2013 Through 18-09-2013",
year = "2013",
doi = "10.1109/ICIP.2013.6738381",
language = "English (US)",
isbn = "9781479923410",
series = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",
publisher = "IEEE Computer Society",
pages = "1850--1854",
booktitle = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",
}