Paper Info
Title
Decoding-Energy Optimal Video Encoding For x265
Abstract
This paper presents optimal x265-encoder configurations and an enhanced optimization algorithm for minimizing the software decoding energy of HEVC-coded videos. We reach this goal with two contributions. First, we perform a detailed analysis on the influence of various encoder settings on the decoding energy. Second, we include an enhanced version of an algorithm called decoding-energy-rate-distortion optimization into x265, which we optimize for fast and efficient encoding. This algorithm introduces the estimated decoding energy as an additional optimization criterion into the rate-distortion cost function. We evaluate the extended encoder in terms of bitrate, distortion, and decoding energy, where we perform energy measurements to prove the superior energy efficiency. We find that the combination of the `fastdecoding' tuning option of x265 with the enhanced decoding-energy-rate-distortion optimization leads to 27.2% and 26.0% of decoding energy savings for OpenHEVC and HM decoding, respectively. At the same time, compression efficiency losses of 38.2% and negligible decreases in encoder runtime of 0.39% can be observed.
Year
DOI
Venue
2020
10.1109/MMSP48831.2020.9287054
2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)
Keywords
DocType
ISSN
x265,decoder energy,rate-distortion optimization,video
Conference
2163-3517
ISBN
Citations 
PageRank 
978-1-7281-9323-6
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Christian Herglotz1209.45
Marco Bader200.34
Kristian Fischer324.33
André Kaup4861127.24