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 language | English |
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Title of host publication | Proceedings of the 2nd Mile-High Video Conference |
Place of Publication | New York, NY, USA |
Pages | 128-129 |
Number of pages | 2 |
DOIs | |
Publication status | Published - 16 Jun 2023 |
Event | ACM MILE-HIGH VIDEO 2023 - Grand Hyatt Denver, Denver, United States Duration: 7 May 2023 → 10 May 2023 https://www.mile-high.video/ |
Publication series
Name | MHV '23 |
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Publisher | Association for Computing Machinery |
Conference
Conference | ACM MILE-HIGH VIDEO 2023 |
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Abbreviated title | mhv 2023 |
Country/Territory | United States |
City | Denver |
Period | 7/05/23 → 10/05/23 |
Internet address |
Research Field
- Former Research Field - Experience Measurement
Keywords
- Just Noticeable Difference (JND)
- Satisfied User Ratio (SUR)