Abstract
We present a study of subjective and objective quality assessment of compressed 4K ultra-high-definition (UHD) videos in an immersive viewing environment. First, we conduct a subjective quality evaluation experiment for 4K UHD videos compressed by three state-of-the-art video coding techniques, i.e., Advanced Video Coding, High Efficiency Video Coding, and VP9. In particular, we aim at investigating added values of UHD over conventional high definition (HD) in terms of perceptual quality. The results are systematically analyzed in various viewpoints, such as coding scheme, bitrate, and video content. Second, existing state-of-the-art objective quality assessment techniques are benchmarked using the subjective data in order to investigate their validity and limitation for 4K UHD videos. Finally, the video and subjective data are made publicly available for further research by the research community.
Original language | English |
---|---|
Pages (from-to) | 1467-1480 |
Number of pages | 14 |
Journal | IEEE Transactions on Circuits and Systems for Video Technology |
Volume | 28 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2018 Jul |
Bibliographical note
Funding Information:Manuscript received May 23, 2016; revised October 11, 2016 and January 9, 2017; accepted March 3, 2017. Date of publication March 16, 2017; date of current version July 2, 2018. This work was supported in part by the Ministry of Science, ICT and Future Planning (MSIP), Korea, under the ICT Consilience Creative Program supervised by the Institute for Information and communications Technology Promotion (IITP) under Grant IITP-2017-2017-0-01015, and in part by the ICT Research and Development Program, Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding, MSIP/IITP under Grant R7124-16-0004. This paper was recommended by Associate Editor Y. Yuan.
Publisher Copyright:
© 1991-2012 IEEE.
All Science Journal Classification (ASJC) codes
- Media Technology
- Electrical and Electronic Engineering