Elevating Your Streaming Experience with Just Noticeable Difference (JND)-based Encoding

Jingwen Zhu, H. Amirpour, Vignesh V Menon, Raimund Schatz, Patrick Le Callet

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

Abstract

With the growing number of video streaming applications, intelligent video streaming has become increasingly important. By considering JND, video delivery can be improved by avoiding the selection of encodings with similar quality for a bitrate ladder. In this paper, we present an overview of the existing methods for modeling and predicting JND in the context of video streaming applications.
Original languageEnglish
Title of host publicationProceedings of the 2nd Mile-High Video Conference
Place of PublicationNew York, NY, USA
Pages128-129
Number of pages2
DOIs
Publication statusPublished - 16 Jun 2023
EventACM MILE-HIGH VIDEO 2023 - Grand Hyatt Denver, Denver, United States
Duration: 7 May 202310 May 2023
https://www.mile-high.video/

Publication series

NameMHV '23
PublisherAssociation for Computing Machinery

Conference

ConferenceACM MILE-HIGH VIDEO 2023
Abbreviated titlemhv 2023
Country/TerritoryUnited States
CityDenver
Period7/05/2310/05/23
Internet address

Research Field

  • Former Research Field - Experience Measurement

Keywords

  • Just Noticeable Difference (JND)
  • Satisfied User Ratio (SUR)

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