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JND-based perceptual video coding for 4:4:4 screen content data in HEVC
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Prangnell, Lee and Sanchez Silva, Victor (2018) JND-based perceptual video coding for 4:4:4 screen content data in HEVC. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, Calgary, Alberta, Canada, 15-20 Apr 2018. Published in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ISSN 2379-190X. doi:10.1109/ICASSP.2018.8462327
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WRAP-JND-based-perceptual-video-coding-Prangnell-2018.pdf - Accepted Version - Requires a PDF viewer. Download (645Kb) | Preview |
Official URL: https://doi.org/10.1109/ICASSP.2018.8462327
Abstract
The JCT-VC standardized Screen Content Coding (SCC) extension in the HEVC HM RExt + SCM reference codec offers an impressive coding efficiency performance when compared with HM RExt alone; however, it is not significantly perceptually optimized. For instance, it does not include advanced HVS-based perceptual coding methods, such as Just Noticeable Distortion (JND)-based spatiotemporal masking schemes. In this paper, we propose a novel JND-based perceptual video coding technique for HM RExt + SCM. The proposed method is designed to further improve the compression performance of HM RExt + SCM when applied to YCbCr 4:4:4 SC video data. In the proposed technique, luminance masking and chrominance masking are exploited to perceptually adjust the Quantization Step Size (QStep) at the Coding Block (CB) level. Compared with HM RExt 16.10 + SCM 8.0, the proposed method considerably reduces bitrates (Kbps), with a maximum reduction of 48.3%. In addition to this, the subjective evaluations reveal that SC-PAQ achieves visually lossless coding at very low bitrates.
| Item Type: | Conference Item (Paper) | ||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||||
| Divisions: | Faculty of Science > Computer Science | ||||||||
| Library of Congress Subject Headings (LCSH): | Digital video -- Standards, Video compression -- Standards, Coding theory, Video compression | ||||||||
| Journal or Publication Title: | 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | ||||||||
| Publisher: | IEEE | ||||||||
| ISSN: | 2379-190X | ||||||||
| Official Date: | 13 September 2018 | ||||||||
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| DOI: | 10.1109/ICASSP.2018.8462327 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
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| Conference Paper Type: | Paper | ||||||||
| Title of Event: | IEEE International Conference on Acoustics, Speech, and Signal Processing | ||||||||
| Type of Event: | Conference | ||||||||
| Location of Event: | Calgary, Alberta, Canada | ||||||||
| Date(s) of Event: | 15-20 Apr 2018 |
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