A JND DATASET BASED ON VVC COMPRESSED IMAGES

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Detail(s)

Original languageEnglish
Title of host publication2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-7281-1485-9
Publication statusPublished - Jul 2020

Conference

Title2020 IEEE International Conference on Multimedia and Expo (ICME)
LocationVirtual
PlaceUnited Kingdom
CityLondon
Period6 - 10 July 2020

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.

Research Area(s)

  • Just noticeable distortion, visual perception

Citation Format(s)

A JND DATASET BASED ON VVC COMPRESSED IMAGES. / Shen, Xuelin; Ni, Zhangkai; Yang, Wenhan; Zhang, Xinfeng; Wang, Shiqi; Kwong, Sam.

2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2020.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)