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Adaptive quantization matrices for HD and UHD display resolutions in scalable HEVC
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Prangnell, Lee and Sanchez Silva, Victor (2016) Adaptive quantization matrices for HD and UHD display resolutions in scalable HEVC. In: IEEE Data Compression Conference, Utah, United States, 31 Mar - 01 Apr 2016. Published in: 2016 Data Compression Conference (DCC) doi:10.1109/DCC.2016.47 ISSN 1068-0314.
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Official URL: https://doi.org/10.1109/DCC.2016.47
Abstract
HEVC contains an option to enable custom quantization matrices (QMs), which are designed based on the Human Visual System (HVS) and a 2D Contrast Sensitivity Function (CSF). Visual Display Units (VDUs), capable of displaying video data at High Definition (HD) and Ultra HD (UHD) display resolutions, are frequently utilized on a global scale. Video compression artifacts that are present due to high levels of quantization, which are typically inconspicuous in low display resolution environments, are clearly visible on HD and UHD video data and VDUs. The default HVS-CSF QM technique in HEVC does not take into account the video data resolution, nor does it take into consideration the associated VDU’s display resolution to determine the appropriate levels of quantization required to reduce unwanted video compression artifacts. Based on this fact, we propose a novel, adaptive quantization matrix technique for the HEVC standard, including Scalable HEVC (SHVC). Our technique, which is based on a refinement of the current HVS-CSF QM approach in HEVC, takes into consideration the display resolution of the target VDU for the purpose of minimizing video compression artifacts. In SHVC SHM 9.0, and compared with anchors, the proposed technique yields important quality and coding improvements for the Random Access configuration, with a maximum of 56.5% luma BD-Rate reductions in the enhancement layer. Furthermore, compared with the default QMs and the Sony QMs, our method yields encoding time reductions of 0.75% and 1.19%, respectively.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | High definition video recording, Video compression -- Standards | ||||||
Journal or Publication Title: | 2016 Data Compression Conference (DCC) | ||||||
Publisher: | IEEE | ||||||
ISSN: | 1068-0314 | ||||||
Official Date: | 19 December 2016 | ||||||
Dates: |
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DOI: | 10.1109/DCC.2016.47 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 4 January 2016 | ||||||
Date of first compliant Open Access: | 4 January 2016 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | IEEE Data Compression Conference | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Utah, United States | ||||||
Date(s) of Event: | 31 Mar - 01 Apr 2016 | ||||||
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Adaptive quantization matrices for HD and UHD display resolutions in scalable HEVC. (deposited 10 Nov 2015 14:39)
- Adaptive quantization matrices for HD and UHD display resolutions in scalable HEVC. (deposited 16 Sep 2016 13:19) [Currently Displayed]
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