[논문]Learning-Based JND-Directed HDR Video Preprocessing for Perceptually Lossless Compression With HEVC

Ki, Sehwan; Do, Jeonghyeok; Kim, Munchurl

doi:10.1109/access.2020.3046194

[해외논문] Learning-Based JND-Directed HDR Video Preprocessing for Perceptually Lossless Compression With HEVC 원문보기

IEEE access : practical research, open solutions, v.8, 2020년, pp.228605 - 228618

Ki, Sehwan (Korea Advanced Institute of Science and Technology, Daejeon, South Korea) , Do, Jeonghyeok (Korea Advanced Institute of Science and Technology, Daejeon, South Korea) , Kim, Munchurl (Korea Advanced Institute of Science and Technology, Daejeon, South Korea)

Abstract ▼ AI-Helper

The final consumer of videos is mostly human. Therefore, if videos can be compressed by fully utilizing the perception characteristics of human visual systems (HVS), the bitrates of the compressed videos can be significantly reduced with subjective visual quality degradation as little as possible. Based on this, we newly propose a learning-based Just Noticeable Distortion (JND)-directed preprocessing scheme for perceptual video compression, especially for 10-bit High Dynamic Range (HDR) videos, which is called the HDR-JNDNet. Our HDR-JNDNet effectively suppresses the perceptual redundancy of 10-bit HDR video signals so that the compression efficiency can be significantly enhanced for the HEVC main10 profile encoder. To our best knowledge, our work is the first approach to training a CNN-based model to directly generate the JND-directed suppressed frames of 10-bit HDR video with the negligible perceptual quality difference between the decoded frames for the original HDR video input with and without the preprocessing by our HDR-JNDNet. Via intensive experiments, when the HDR-JNDNet is applied as preprocessing for the HDR video input before compression, it allows to remarkably save the required bitrates up to the maximum (average) 40.66% (18.37%) for 4K-UHD/HDR test videos, with little subjective video quality degradation without increasing the computational complexity.

참고문헌 (33)

Zhou, Mingliang, Wei, Xuekai, Kwong, Sam, Jia, Weijia, Fang, Bin. Just Noticeable Distortion-Based Perceptual Rate Control in HEVC. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol.29, 7603-7614.

상세보기
10.1109/CVPR.2018.00262
Yang Zhang, Naccari, Matteo, Agrafiotis, Dimitris, Mrak, Marta, Bull, David R.. High Dynamic Range Video Compression Exploiting Luminance Masking. IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society, vol.26, no.5, 950-964.

상세보기
10.1109/VCIP.2016.7805499
Ki, Sehwan, Bae, Sung-Ho, Kim, Munchurl, Ko, Hyunsuk. Learning-Based Just-Noticeable-Quantization- Distortion Modeling for Perceptual Video Coding. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol.27, no.7, 3178-3193.

상세보기
10.1109/VCIP.2017.8305048
Kim, Jaeil, Bae, Sung-Ho, Kim, Munchurl. An HEVC-Compliant Perceptual Video Coding Scheme Based on JND Models for Variable Block-Sized Transform Kernels. IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society, vol.25, no.11, 1786-1800.

상세보기
10.1109/ICIP.2017.8296437
Call for Evidence (CfE) for HDR and WCG Video Coding luthra 2015
IEEE Trans Image Process Optimizing a tone curve for backward-compatible high dynamic range image and video compression mai 2010 20 1558
ACM Trans Graph HDR-VDP-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions mantiuk 2011 10.1145/2010324.1964935 30 1

상세보기
Marzuki, Ismail, Sim, Donggyu. Perceptual Adaptive Quantization Parameter Selection Using Deep Convolutional Features for HEVC Encoder. IEEE access : practical research, open solutions, vol.8, 37052-37065.

상세보기
10.1109/ICME.2013.6607535
Narwaria, M., Perreira Da Silva, M., Le Callet, P.. HDR-VQM: An objective quality measure for high dynamic range video. Signal processing, Image communication, vol.35, 46-60.

상세보기
10.1109/ISCAS.2016.7539109
Proc 11th Meeting Joint Collaborative Team Video Coding (JCT-VC) Common test conditions and software reference configurations bossen 2013 16
Vidal, Eloïse, Sturmel, Nicolas, Guillemot, Christine, Corlay, Patrick, Coudoux, François-Xavier. New adaptive filters as perceptual preprocessing for rate-quality performance optimization of video coding. Signal processing, Image communication, vol.52, 124-137.

상세보기
Sung-Ho Bae, Jaeil Kim, Munchurl Kim. HEVC-Based Perceptually Adaptive Video Coding Using a DCT-Based Local Distortion Detection Probability Model. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol.25, no.7, 3343-3357.

상세보기
General Viewing Conditions for Subjective Assessment of Quality of SDTV and HDTV Television Pictures on Flat Panel Displays 2012
Yu, Shengtao, Jung, Cheolkon. Adaptive perceptual quantizer for high dynamic range video compression. Journal of visual communication and image representation, vol.58, 25-36.

상세보기
Youtube now gets over 400 hours of content uploaded every minute brouwer 2015
Francois, Edouard, Fogg, Chad, Yuwen He, Xiang Li, Luthra, Ajay, Segall, Andrew. High Dynamic Range and Wide Color Gamut Video Coding in HEVC: Status and Potential Future Enhancements. IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society, vol.26, no.1, 63-75.

상세보기
Proc SPIE Video pre-processing with JND-based Gaussian filtering of superpixels ding 2015 9410
Next Generation of Innovation Debuts as CES 2016 Kicks Off Consumer Electronics Show (CES) 2016
Parameter Values for Ultra-high Definition Television Systems for Production and International Programme Exchange 2014
Information and Comments on Hybrid Log Gamma holm 2016
An Introduction to Statistical Methods and Data Analysis ott 2015
High Dynamic Range Imaging Acquisition Display and Image-Based Lighting reinhard 2010
Prangnell, Lee. Visually lossless coding in HEVC: A high bit depth and 4:4:4 capable JND-based perceptual quantisation technique for HEVC. Signal processing, Image communication, vol.63, 125-140.

상세보기
Methodology for the Subjective Assessment of the Quality of Television Pictures series 2012
Robson, J.G., Graham, N.. Probability summation and regional variation in contrast sensitivity across the visual field. Vision research, vol.21, no.3, 409-418.

상세보기
Sullivan, G. J., Ohm, J., Woo-Jin Han, Wiegand, T.. Overview of the High Efficiency Video Coding (HEVC) Standard. IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society, vol.22, no.12, 1649-1668.

상세보기
arXiv 1409 1556 Very deep convolutional networks for large-scale image recognition simonyan 2014

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