Abstract
In this paper, we establish a just noticeable distortion (JND) dataset based on the next generation video coding standard Versatile Video Coding (VVC). The dataset consists of 202 images which cover a wide range of content with resolution 1920×1080. Each image is encoded by VTM 5.0 intra coding with the quantization parameter (QP) ranging from 13 to 51. The details regarding dataset construction, subjective testing and data post-processing are described in this paper. Finally, the significance of the dataset towards future video coding research is envisioned. All source images as well as the testing data have been made available to the public.
| Original language | English |
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| Title of host publication | 2020 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728114859 |
| ISBN (Print) | 9781728114866 |
| DOIs | |
| Publication status | Published - Jul 2020 |
| Externally published | Yes |
| Event | 2020 IEEE International Conference on Multimedia and Expo (ICME 2020) - Virtual, London, United Kingdom Duration: 6 Jul 2020 → 10 Jul 2020 https://www.2020.ieeeicme.org/www.2020.ieeeicme.org/index.html |
Conference
| Conference | 2020 IEEE International Conference on Multimedia and Expo (ICME 2020) |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 6/07/20 → 10/07/20 |
| Internet address |
Funding
This work was supported by GRF - RGC General Research Fund 9042322(CityU 11200116), 9042489 (CityU 11206317) and 9042816 (C-ityU 11209819).
Keywords
- Just noticeable distortion
- Visual perception