The Library
Cross-color channel perceptually adaptive quantization for HEVC
Tools
Tools
Tools
Prangnell, Lee, Hernández-Cabronero, Miguel and Sanchez Silva, Victor (2017) Cross-color channel perceptually adaptive quantization for HEVC. In: IEEE Data Compression Conference, Utah, United States, 04- 07 Apr 2017. Published in: 2017 Data Compression Conference (DCC) ISBN 9781509067220. ISSN 2375-0359.
|
PDF
WRAP_cross-color_channel_perceptually_adaptive_quantization_for_hevc (1).pdf - Accepted Version - Requires a PDF viewer. Download (1409Kb) | Preview |
Official URL: http://doi.org/10.1109/DCC.2017.66
Abstract
HEVC includes a Coding Unit (CU) level luminance-based perceptual quantization technique known as AdaptiveQP. AdaptiveQP perceptually adjusts the Quantization Parameter (QP) at the CU level based on the spatial activity of raw input video data in a luma Coding Block (CB). In this paper, we propose a novel cross-color channel adaptive quantization scheme which perceptually adjusts the CU level QP according to the spatial activity of raw input video data in the constituent luma and chroma CBs; i.e., the combined spatial activity across all three color channels (the Y, Cb and Cr channels). Our technique is evaluated in HM 16 with 4:4:4, 4:2:2 and 4:2:0 YCbCr JCT-VC test sequences. Both subjective and objective visual quality evaluations are undertaken during which we compare our method with AdaptiveQP. Our technique achieves considerable coding efficiency improvements, with maximum BD-Rate reductions of 15.9% (Y), 13.1% (Cr) and 16.1% (Cb) in addition to a maximum decoding time reduction of 11.0%.
| Item Type: | Conference Item (Paper) | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TR Photography |
||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Video compression -- Standards | ||||||
| Journal or Publication Title: | 2017 Data Compression Conference (DCC) | ||||||
| Publisher: | IEEE Computer Society Conference Publishing Services (CPS) | ||||||
| ISBN: | 9781509067220 | ||||||
| ISSN: | 2375-0359 | ||||||
| Official Date: | 12 May 2017 | ||||||
| Dates: |
|
||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Date of first compliant deposit: | 23 December 2016 | ||||||
| Date of first compliant Open Access: | 2 February 2017 | ||||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||||
| Grant number: | P83801G | ||||||
| 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: | 04- 07 Apr 2017 |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
