VideoSet : A large-scale compressed video quality dataset based on JND measurement

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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Author(s)

  • Haiqiang Wang
  • Ioannis Katsavounidis
  • Jiantong Zhou
  • Jeonghoon Park
  • Shawmin Lei
  • Xin Zhou
  • Man-On Pun
  • Xin Jin
  • Ronggang Wang
  • Xu Wang
  • Yun Zhang
  • Jiwu Huang
  • C.-C. Jay Kuo

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)292-302
Journal / PublicationJournal of Visual Communication and Image Representation
Volume46
Publication statusPublished - 1 Jul 2017

Link(s)

Abstract

A new methodology to measure coded image/video quality using the just-noticeable-difference (JND) idea was proposed in Lin et al. (2015). Several small JND-based image/video quality datasets were released by the Media Communications Lab at the University of Southern California in Jin et al. (2016) and Wang et al. (2016) [3]. In this work, we present an effort to build a large-scale JND-based coded video quality dataset. The dataset consists of 220 5-s sequences in four resolutions (i.e., 1920×1080,1280×720,960×540 and 640×360). For each of the 880 video clips, we encode it using the H.264/AVC codec with QP=1,…,51 and measure the first three JND points with 30 + subjects. The dataset is called the “VideoSet”, which is an acronym for “Video Subject Evaluation Test (SET)”. This work describes the subjective test procedure, detection and removal of outlying measured data, and the properties of collected JND data. Finally, the significance and implications of the VideoSet to future video coding research and standardization efforts are pointed out. All source/coded video clips as well as measured JND data included in the VideoSet are available to the public in the IEEE DataPort (Wang et al., 2016 [4]).

Research Area(s)

  • Human visual system (HVS), Just noticeable difference (JND), Video coding, Video quality

Citation Format(s)

VideoSet : A large-scale compressed video quality dataset based on JND measurement. / Wang, Haiqiang; Katsavounidis, Ioannis; Zhou, Jiantong; Park, Jeonghoon; Lei, Shawmin; Zhou, Xin; Pun, Man-On; Jin, Xin; Wang, Ronggang; Wang, Xu; Zhang, Yun; Huang, Jiwu; Kwong, Sam; Kuo, C.-C. Jay.

In: Journal of Visual Communication and Image Representation, Vol. 46, 01.07.2017, p. 292-302.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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