Back to articles
Articles
Volume: 32 | Article ID: art00015
Image
Per Clip Lagrangian Multiplier Optimisation for HEVC
Daniel J Ringis
François Pitié
Anil Kokaram
  DOI :  10.2352/ISSN.2470-1173.2020.10.IPAS-136  Published Online :  January 2020
Abstract

The majority of internet traffic is video content. This drives the demand for video compression in order to deliver high quality video at low target bitrates. This paper investigates the impact of adjusting the rate distortion equation on compression performance. An constant of proportionality, k, is used to modify the Lagrange multiplier used in H.265 (HEVC). Direct optimisation methods are deployed to maximise BD-Rate improvement for a particular clip. This leads to up to 21% BD-Rate improvement for an individual clip. Furthermore we use a more realistic corpus of material provided by YouTube. The results show that direct optimisation using BD-rate as the objective function can lead to further gains in bitrate savings that are not available with previous approaches.

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
Views 66
Downloads 3
 DOI 10.2352/ISSN.2470-1173.2020.10.IPAS-136
 articleview.views 66
 articleview.downloads 3
  Cite this article 

Daniel J Ringis, François Pitié, Anil Kokaram, "Per Clip Lagrangian Multiplier Optimisation for HEVC"  in Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Algorithms and Systems XVIII,  2020,  pp 136-1 - 136-7,  https://doi.org/10.2352/ISSN.2470-1173.2020.10.IPAS-136

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2020
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/ISSN.2470-1173.2020.10.IPAS-136
2470-1173(20200126)2020:10L.1361;1-
ei_24701173_v2020n10_input/s15.xml
/ist/ei/2020/00002020/00000010/art00015
Articles
Per Clip Lagrangian Multiplier Optimisation for HEVC
RingisDaniel J
PitiéFrançois
KokaramAnil
26012020
2020
10
136-1
136-7
2020
The majority of internet traffic is video content. This drives the demand for video compression in order to deliver high quality video at low target bitrates. This paper investigates the impact of adjusting the rate distortion equation on compression performance. An constant of proportionality, k, is used to modify the Lagrange multiplier used in H.265 (HEVC). Direct optimisation methods are deployed to maximise BD-Rate improvement for a particular clip. This leads to up to 21% BD-Rate improvement for an individual clip. Furthermore we use a more realistic corpus of material provided by YouTube. The results show that direct optimisation using BD-rate as the objective function can lead to further gains in bitrate savings that are not available with previous approaches.
Video CodingHEVCCompressionOptimization