Measuring the Influence of Image Preprocessing on the Rate-Distortion Performance of Video Encoding

Markus Hofbauer, Christopher B. Kuhn, Goran Petrovic, Eckehard Steinbach

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we conduct an extensive analysis of the rate-distortion (RD) performance achieved by using different preprocessing steps before encoding the video. We propose a novel evaluation method called the Mean Saving-Cost Ratio (MSCR) to compare the RD performance for different preprocessing algorithms. We define MSCR as the logarithmic mean ratio of maximum bitrate savings over maximum quality cost for all parameters of a preprocessing algorithm.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Symposium on Multimedia, ISM 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages151-152
Number of pages2
ISBN (Electronic)9781665471725
DOIs
StatePublished - 2022
Event24th IEEE International Symposium on Multimedia, ISM 2022 - Virtual, Online, Italy
Duration: 5 Dec 20227 Dec 2022

Publication series

NameProceedings - 2022 IEEE International Symposium on Multimedia, ISM 2022

Conference

Conference24th IEEE International Symposium on Multimedia, ISM 2022
Country/TerritoryItaly
CityVirtual, Online
Period5/12/227/12/22

Keywords

  • Image Preprocessing
  • Video Coding

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