Encoding in the Dark Grand Challenge: An Overview

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)


A big part of the video content we consume from video providers consists of genres featuring low-light aesthetics. Low light sequences have special characteristics, such as spatio-temporal varying acquisition noise and light flickering, that make the encoding process challenging. To deal with the spatio-temporal incoherent noise, higher bitrates are used to achieve high objective quality. Additionally, the quality assessment metrics and methods have not been designed, trained or tested for this type of content. This has inspired us to trigger research in that area and propose a Grand Challenge on encoding low-light video sequences. In this paper, we present an overview of the proposed challenge, and test state-of-the-art methods that will be part of the benchmark methods at the stage of the participants’ deliverable assessment. From this exploration, our results show that VVC already achieves a high performance compared to simply denoising the video source prior to encoding. Moreover, the quality of the video streams can be further improved by employing a post-processing image enhancement method.
Original languageEnglish
Title of host publicationICME 2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)978-1-7281-1485-9/20
Publication statusAccepted/In press - 13 Mar 2020
EventIEEE International Conference on Multimedia and Expo - London, United Kingdom
Duration: 6 Jul 202010 Jul 2020


ConferenceIEEE International Conference on Multimedia and Expo
CountryUnited Kingdom

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    Anantrasirichai, N., Zhang, F., Malyugina, A., Hill, P. R., & Katsenou, A. (Accepted/In press). Encoding in the Dark Grand Challenge: An Overview. In ICME 2020 Institute of Electrical and Electronics Engineers (IEEE).