A Hybrid Contrast and Texture Masking Model to Boost High Efficiency Video Coding Perceptual Rate-Distortion Performance
Abstract
:1. Introduction
2. Related Work
- An improved contrast masking method that covers all HEVC available block sizes (4 × 4 to 32 × 32) that includes a new efficient quantization matrix;
- A new block classification method for block texture masking based on the MDV metric that efficiently classifies every block as a texture, edge, or plain block;
- A new QP offset calculator for the HEVC adaptive QP tool, based on the block texture energy and its classification.
3. Proposed HEVC Perceptual Quantizer
3.1. Proposed Contrast Sensitivity Function
3.2. Block Classification Based on Texture Orientation and SVM
3.3. Obtaining Optimal QP Offset
4. Results and Discussion
5. Conclusions and Future Work
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Appendix A. Video Sequence Screenshots
References
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Class | Sequence Name | Resolution | Frame Count | Frame Rate | Bit Depth |
---|---|---|---|---|---|
A | Traffic | 2560 × 1600 | 150 | 30 | 8 |
PeopleOnStreet | 150 | 30 | 8 | ||
Nebuta | 300 | 60 | 10 | ||
SteamLocomotive | 300 | 60 | 10 | ||
B | Kimono | 1920 × 1080 | 240 | 24 | 8 |
ParkScene | 240 | 24 | 8 | ||
Cactus | 500 | 50 | 8 | ||
BQTerrace | 600 | 60 | 8 | ||
BasketballDrive | 500 | 50 | 8 | ||
C | RaceHorses | 832 × 480 | 300 | 30 | 8 |
BQMall | 600 | 60 | 8 | ||
PartyScene | 500 | 50 | 8 | ||
BasketballDrill | 500 | 50 | 8 | ||
D | RaceHorses | 416 × 240 | 300 | 30 | 8 |
BQSquare | 600 | 60 | 8 | ||
BlowingBubbles | 500 | 50 | 8 | ||
BasketballPass | 500 | 50 | 8 | ||
E | FourPeople | 1280 × 720 | 600 | 60 | 8 |
Johnny | 600 | 60 | 8 | ||
KristenAndSara | 600 | 60 | 8 | ||
F | BaskeballDrillText | 832 × 480 | 500 | 50 | 8 |
ChinaSpeed | 1024 × 768 | 500 | 30 | 8 | |
SlideEditing | 1280 × 720 | 300 | 30 | 8 | |
SlideShow | 500 | 20 | 8 |
Sequence Class | SCL = 1 (HEVC Presets) | SCL = 2 (Ours) | ||||
---|---|---|---|---|---|---|
SSIM | MS-SSIM | PSNR-HVS-M | SSIM | MS-SSIM | PSNR- HVS-M | |
Class A | −0.66 | −0.33 | −0.62 | −1.06 | −0.82 | −1.58 |
Class B | −0.97 | −0.48 | −0.99 | −3.20 | −2.58 | −4.23 |
Class C | 0.26 | 0.08 | −0.08 | −4.82 | −5.36 | −7.39 |
Class D | 1.26 | 0.29 | −0.05 | −1.36 | −5.66 | −7.65 |
Class E | −0.74 | −0.50 | −0.75 | −1.78 | −1.39 | −1.98 |
Class F | −0.15 | −0.04 | −0.11 | −4.57 | −4.19 | −4.17 |
Average | −0.17 | −0.16 | −0.43 | −2.80 | −3.33 | −4.48 |
Model Parameters | Block Size | ||
---|---|---|---|
8 × 8 | 16 × 16 | 32 × 32 | |
Kernel function | linear | linear | linear |
Kernel scale | auto | auto | auto |
Box constraint level | 85 | 285 | 35 |
Multi-class method | One-vs.-All | One-vs.-One | One-vs.-All |
Standardize data | true | true | true |
Model accuracy | 93.9% | 95.4% | 94.5% |
Classification | Parameter | Block Size | ||
---|---|---|---|---|
8 × 8 | 16 × 16 | 32 × 32 | ||
Texture | MinE | 2864 | 9712 | 29,952 |
MaxE | 26,256 | 26,800 | 216,880 | |
MaxElevation | 1.3 | 1.2 | 2.2 | |
Edge | MinE | 1520 | 4320 | 14,320 |
MaxE | 5424 | 52,016 | 63,504 | |
MaxElevation | 1.2 | 1.3 | 1.2 |
Class | Metric | Texture Blocks | Edge Blocks | ||||
---|---|---|---|---|---|---|---|
8 × 8 | 16 × 16 | 32 × 32 | 8 × 8 | 16 × 16 | 32 × 32 | ||
A | SSIM | −1.04 | −0.98 | −1.01 | −0.67 | −1.07 | −1.05 |
MS-SSIM | −0.87 | −0.76 | −0.80 | −0.46 | −0.80 | −0.82 | |
PSNR-HVS-M | −1.69 | −1.44 | −1.52 | −1.26 | −1.52 | −1.57 | |
B | SSIM | −3.74 | −3.14 | −3.15 | −3.03 | −3.21 | −3.19 |
MS-SSIM | −3.02 | −2.47 | −2.52 | −2.34 | −2.56 | −2.57 | |
PSNR-HVS-M | −4.58 | −4.05 | −4.17 | −3.90 | −4.16 | −4.21 | |
E | SSIM | −2.12 | −1.74 | −1.77 | −1.48 | −1.87 | −1.78 |
MS-SSIM | −1.68 | −1.35 | −1.40 | −0.98 | −1.50 | −1.39 | |
PSNR-HVS-M | −2.14 | −1.89 | −1.96 | −1.17 | −2.02 | −1.99 |
Class | Sequence Name | Contrast Masking | Contrast and Texture Masking | ||||
---|---|---|---|---|---|---|---|
SSIM | MS-SSIM | PSNR- HVS-M | SSIM | MS-SSIM | PSNR- HVS-M | ||
A | Traffic | −1.00 | −0.93 | −1.77 | −2.25 | −1.89 | −2.05 |
PeopleOnStreet | −1.23 | −1.27 | −1.95 | −3.38 | −2.98 | −2.54 | |
Nebuta | −1.22 | −0.39 | −1.64 | −2.40 | −1.70 | −1.85 | |
SteamLocomotiveTrain | −0.80 | −0.67 | −0.98 | −0.05 | −0.04 | −0.36 | |
Average | −1.06 | −0.82 | −1.58 | −2.02 | −1.65 | −1.70 | |
B | Kimono | −0.50 | −0.41 | −0.89 | −0.53 | −0.35 | −0.81 |
ParkScene | −2.26 | −1.67 | −3.11 | −3.82 | −2.91 | −3.75 | |
Cactus | −2.97 | −2.26 | −4.06 | −5.10 | −3.94 | −4.83 | |
BQTerrace | −6.68 | −5.44 | −7.82 | −9.61 | −8.09 | −8.89 | |
BasketballDrive | −3.61 | −3.11 | −5.27 | −5.05 | −4.31 | −5.66 | |
Average | −3.20 | −2.58 | −4.23 | −4.82 | −3.92 | −4.79 | |
C | RaceHorses | −4.80 | −5.60 | −7.62 | −7.60 | −8.21 | −9.07 |
BQMall | −3.28 | −3.53 | −4.96 | −5.09 | −5.26 | −5.58 | |
PartyScene | −6.51 | −7.45 | −9.89 | −8.22 | −9.19 | −10.75 | |
BasketballDrill | −4.70 | −4.86 | −6.58 | −7.46 | −7.66 | −7.86 | |
Average | −4.82 | −5.36 | −7.26 | −7.09 | −7.58 | −8.31 | |
D | RaceHorses | −0.63 | −3.00 | −5.71 | −2.43 | −5.67 | −6.91 |
BQSquare | −2.81 | −9.24 | −10.12 | −6.25 | −14.24 | −12.30 | |
BlowingBubbles | −0.28 | −6.16 | −9.39 | −1.33 | −7.74 | −9.87 | |
BasketballPass | −1.74 | −4.25 | −5.39 | −3.65 | −7.07 | −6.84 | |
Average | −1.36 | −5.66 | −7.65 | −3.41 | −8.68 | −8.98 | |
E | FourPeople | −1.54 | −1.27 | −1.81 | −2.75 | −2.25 | −1.98 |
Johnny | −1.65 | −1.00 | −1.87 | −2.98 | −2.25 | −1.85 | |
KristenAndSara | −2.15 | −1.88 | −2.26 | −4.42 | −3.87 | −2.98 | |
Average | −1.78 | −1.39 | −1.98 | −3.38 | −2.79 | −2.27 | |
F | BasketballDrillText | −4.74 | −4.89 | −5.97 | −7.88 | −8.08 | −7.64 |
ChinaSpeed | −6.25 | −5.41 | −5.34 | −9.94 | −8.84 | −7.26 | |
SlideEditing | −1.85 | −1.57 | −1.51 | −3.51 | −3.08 | −2.89 | |
SlideShow | −5.45 | −4.88 | −3.84 | −8.78 | −7.93 | −5.32 | |
Average | −4.57 | −4.19 | −4.17 | −7.52 | −6.98 | −5.78 | |
Class average | −2.80 | −3.33 | −4.48 | −4.71 | −5.27 | −5.30 |
Class | Sequence Name | Constrast Masking | Contrast and Texture Masking | ||||
---|---|---|---|---|---|---|---|
SSIM | MS-SSIM | PSNR- HVS-M | SSIM | MS-SSIM | PSNR- HVS-M | ||
A | Traffic | −1.60 | −1.30 | −2.41 | −4.12 | −3.87 | −4.07 |
PeopleOnStreet | −0.98 | −0.81 | −1.30 | −6.38 | −5.95 | −4.36 | |
Nebuta | −2.16 | −1.19 | −1.55 | −3.53 | −2.17 | −1.05 | |
SteamLocomotiveTrain | −0.92 | −0.74 | −0.93 | −0.79 | −0.63 | −0.51 | |
Average | −1.42 | −1.01 | −1.55 | −3.71 | −3.15 | −2.50 | |
B | Kimono | −0.39 | −0.30 | −0.64 | −0.75 | −0.60 | −0.62 |
ParkScene | −2.72 | −1.86 | −3.30 | −5.02 | −4.11 | −4.68 | |
Cactus | −3.19 | −2.60 | −4.75 | −5.52 | −4.65 | −5.84 | |
BQTerrace | −12.00 | −10.32 | −12.82 | −15.89 | −13.59 | −14.28 | |
BasketballDrive | −3.21 | −3.20 | −5.33 | −6.15 | −5.91 | −6.59 | |
Average | −4.30 | −3.66 | −5.37 | −6.67 | −5.77 | −6.40 | |
C | RaceHorses | −4.48 | −4.89 | −6.88 | −8.66 | −9.00 | −9.39 |
BQMall | −3.31 | −3.37 | −4.98 | −6.71 | −6.76 | −7.13 | |
PartyScene | −5.67 | −5.87 | −9.10 | −8.56 | −8.67 | −10.54 | |
BasketballDrill | −1.61 | −1.90 | −3.84 | −5.80 | −6.01 | −6.00 | |
Average | −3.77 | −4.01 | −6.20 | −7.43 | −7.61 | −8.26 | |
D | RaceHorses | 0.60 | −2.45 | −4.38 | −4.16 | −7.38 | −7.39 |
BQSquare | −1.57 | −8.85 | −10.49 | −6.29 | −14.72 | −13.04 | |
BlowingBubbles | 2.21 | −5.30 | −9.32 | −0.36 | −8.32 | −10.83 | |
BasketballPass | −1.15 | −3.49 | −4.60 | −5.67 | −8.19 | −7.30 | |
Average | 0.02 | −5.02 | −7.20 | −4.12 | −9.65 | −9.64 | |
E | FourPeople | −1.44 | −1.07 | −1.80 | −3.33 | −2.75 | −2.82 |
Johnny | −1.90 | −1.25 | −2.11 | −3.72 | −2.81 | −2.74 | |
KristenAndSara | −2.37 | −2.06 | −2.52 | −4.98 | −4.42 | −3.84 | |
Average | −1.90 | −1.46 | −2.15 | −4.01 | −3.32 | −3.13 | |
F | BasketballDrillText | −1.83 | −2.15 | −3.65 | −6.26 | −6.43 | −5.90 |
ChinaSpeed | −6.52 | −5.88 | −5.40 | −11.12 | −10.31 | −8.08 | |
SlideEditing | −1.30 | −0.86 | −2.09 | −2.19 | −2.19 | −3.66 | |
SlideShow | −4.93 | −4.35 | −3.89 | −9.72 | −8.82 | −6.69 | |
Average | −3.64 | −3.31 | −3.76 | −7.32 | −6.94 | −6.08 | |
Class average | −2.50 | −3.08 | −4.37 | −5.54 | −6.08 | −6.00 |
Class | Sequence Name | Constrast Masking | Contrast and Texture Masking | ||||
---|---|---|---|---|---|---|---|
SSIM | MS-SSIM | PSNR- HVS-M | SSIM | MS-SSIM | PSNR- HVS-M | ||
A | Traffic | −1.37 | −1.13 | −2.40 | −5.03 | −4.85 | −4.92 |
PeopleOnStreet | −0.66 | −0.72 | −1.24 | −6.07 | −5.93 | −4.33 | |
Nebuta | −2.29 | −1.20 | −1.52 | −2.52 | −1.37 | −0.90 | |
SteamLocomotiveTrain | −0.71 | −0.56 | −0.83 | −0.44 | −0.07 | −0.11 | |
Average | −1.26 | −0.90 | −1.50 | −3.51 | −3.05 | −2.56 | |
B | Kimono | −0.21 | −0.16 | −0.32 | −0.03 | 0.05 | 0.02 |
ParkScene | −1.93 | −1.55 | −2.67 | −3.99 | −3.63 | −4.06 | |
Cactus | −2.11 | −1.59 | −3.68 | −4.39 | −3.61 | −4.79 | |
BQTerrace | −10.42 | −8.93 | −13.03 | −16.13 | −14.36 | −16.37 | |
BasketballDrive | −3.11 | −3.08 | −4.92 | −6.27 | −6.00 | −6.52 | |
Average | −3.56 | −3.06 | −4.92 | −6.16 | −5.51 | −6.34 | |
C | RaceHorses | −4.27 | −4.67 | −7.05 | −8.42 | −8.82 | −9.39 |
BQMall | −3.36 | −3.48 | −5.02 | −7.93 | −8.01 | −7.94 | |
PartyScene | −7.37 | −7.40 | −10.70 | −11.57 | −11.60 | −13.24 | |
BasketballDrill | −1.13 | −1.33 | −2.76 | −5.51 | −5.69 | −5.38 | |
Average | −4.03 | −4.22 | −6.38 | −8.35 | −8.53 | −8.99 | |
D | RaceHorses | −0.31 | −2.21 | −4.13 | −4.99 | −7.58 | −6.99 |
BQSquare | −8.30 | −14.38 | −15.77 | −15.26 | −22.89 | −20.48 | |
BlowingBubbles | −2.97 | −7.26 | −10.74 | −6.55 | −11.54 | −13.17 | |
BasketballPass | −2.64 | −4.31 | −5.53 | −7.49 | −9.55 | −8.75 | |
Average | −3.56 | −7.04 | −9.04 | −8.57 | −12.89 | −12.35 | |
E | FourPeople | −0.20 | 0.01 | −0.79 | −2.03 | −1.54 | −1.20 |
Johnny | −0.71 | −0.35 | −1.24 | −4.01 | −3.38 | −2.99 | |
KristenAndSara | −1.22 | −0.88 | −1.45 | −2.82 | −2.40 | −1.60 | |
Average | −0.71 | −0.41 | −1.16 | −2.95 | −2.44 | −1.93 | |
F | BasketballDrillText | −1.31 | −1.52 | −2.66 | −6.28 | −6.41 | −5.46 |
ChinaSpeed | −6.25 | −5.73 | −5.36 | −10.81 | −10.10 | −7.54 | |
SlideEditing | −1.35 | −1.48 | −0.72 | −3.91 | −3.45 | −1.99 | |
SlideShow | −5.59 | −5.34 | −5.05 | −10.28 | −9.75 | −7.92 | |
Average | −3.62 | −3.52 | −3.45 | −7.82 | −7.43 | −5.73 | |
Class average | −2.79 | −3.19 | −4.41 | −6.23 | −6.64 | −6.32 |
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Atencia, J.R.; López-Granado, O.; Pérez Malumbres, M.; Martínez-Rach, M.; Coll, D.R.; Fernández Escribano, G.; Van Wallendael, G. A Hybrid Contrast and Texture Masking Model to Boost High Efficiency Video Coding Perceptual Rate-Distortion Performance. Electronics 2024, 13, 3341. https://doi.org/10.3390/electronics13163341
Atencia JR, López-Granado O, Pérez Malumbres M, Martínez-Rach M, Coll DR, Fernández Escribano G, Van Wallendael G. A Hybrid Contrast and Texture Masking Model to Boost High Efficiency Video Coding Perceptual Rate-Distortion Performance. Electronics. 2024; 13(16):3341. https://doi.org/10.3390/electronics13163341
Chicago/Turabian StyleAtencia, Javier Ruiz, Otoniel López-Granado, Manuel Pérez Malumbres, Miguel Martínez-Rach, Damian Ruiz Coll, Gerardo Fernández Escribano, and Glenn Van Wallendael. 2024. "A Hybrid Contrast and Texture Masking Model to Boost High Efficiency Video Coding Perceptual Rate-Distortion Performance" Electronics 13, no. 16: 3341. https://doi.org/10.3390/electronics13163341