@inproceedings{24f556145d0743a18366a548b2ae366a,
title = "A JND Dataset Based on VVC Compressed Images",
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.",
keywords = "Just noticeable distortion, Visual perception",
author = "Xuelin Shen and Zhangkai Ni and Wenhan Yang and Xinfeng Zhang and Shiqi Wang and Sam Kwong",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020 ; Conference date: 06-07-2020 Through 10-07-2020",
year = "2020",
month = jul,
doi = "10.1109/ICMEW46912.2020.9105955",
language = "英语",
series = "2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020",
address = "美国",
}