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[an error occurred while processing this directive]This page describles metrics effectively implemented in MSU VQMT
-metr psnr [over <color components>]Metric depends only on difference of original and distorted, and more preciesly, only on -norm of this difference (see MSE). Unlike MSE, metric has logrithmic scale and can be calculated using the following formula:
where MaxErr - maximum possible absolute value of color component (MaxErr=1 in VQMT), w - video width, h - video height.
Total PSNR is aggregated value, that considers all processed frames as a single huge image and then calculates PSNR. Total PSNR takes into account sum suqared distortion on all frames, and doesn't distinguish situation where all distorion on one frame from situation where it is distributed across all frames. While arithmetic mean aggregated value depends from geometric mean of MSE's of each frames, Total PSNR depends on arithmetic mean of them.
In MSU VQMT you can calculate PSNR for all YUV and RGB components and for L component of LUV color space. Also, since VQMT 12 you can calculate over all YUV space or all RGB space, achieving a single value for 3 components. PSNR metric is easy and fast to calculate, but sometimes it is not appropriate to human's perception.
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 default-Y | 8 cores | HD 720p | 492.737 | 0.002 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 477.477 | 0.002 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 213.148 | 0.005 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 213.664 | 0.005 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 48.946 | 0.020 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 50.437 | 0.020 |
| VQMT 13 default-YUV | 8 cores | HD 720p | 365.428 | 0.003 |
| VQMT 13 default-YUV | 1 core enabled | HD 720p | 276.738 | 0.004 |
| VQMT 13 default-YUV | 8 cores | FullHD 1080p | 161.647 | 0.006 |
| VQMT 13 default-YUV | 1 core enabled | FullHD 1080p | 134.382 | 0.007 |
| VQMT 13 default-YUV | 8 cores | UHD 4k 2160p | 37.379 | 0.027 |
| VQMT 13 default-YUV | 1 core enabled | UHD 4k 2160p | 33.964 | 0.029 |
-metr vmaf [-dev <OpenCL device>]VMAF is modern reference metric developed by Netflix in cooperation with the University of Southern California. VQMT has full support of VMAF with multiple configuration switches. MSU VQMT support the following VMAF models: VMAF 0.60, VMAF 0.61 (2k, 4k), VMAF 0.62 (2k, 4k), VMAF 0.63 (2k), also, you can compute phone model and elementary features of VMAF. You can use custom model in pkl format with VQMT.
VMAF consist of 4 features (ADM, VIF, Motion, ANSNR) and 35 elementary features, but VMAF models uses only 6 of them: adm2, motion2, vif_scale0, vif_scale1, vif_scale2, vif_scale3. VMAF applies an SVM model to this set of features, which depends on current settings. After applying SVM, the value is clipped to interval 0..100 by default. Motion feature is the only temporal feature, it consider adjacent frames. To calculate VMAF value for current frame it is needed to use the previous frame and the next frame.
VMAF can also compute confidence intervals by applying multiple models and calculating standard deviation of result. VMAF has models, that aimed for 4k and 2k. By default, VQMT will automatically select the correct model by the resolution of input video.
Since VQMT 13 VMAF has a real block-wise visualization, which computes individual VMAF value for each 16x16 block of image. You also can visualize every feature besides motion (ADM, VIF, ANSNR).
-set "model_preset=<value>", where <value> can be:default, vmaf_v061, vmaf_v062, vmaf_v063, vmaf_v060, all_models, basic_features, standard_features, all_features, all, custom.*.pkl)*.pkl file here (or multiple ;-separated *.pkl files). Model file should be placed near pkl file.
NOTE: this only means if preset is set to 'custom'-set "custom_model_files=<value>", where <value> can be:NOTE: this param does not affects custom model
-set "4k=<value>", where <value> can be:auto, forced_2k, forced_4k-set "confidence_interval=<value>", where <value> can be:true, false-set "permodel_values=<value>", where <value> can be:true, false-set "visualize_alg=<value>", where <value> can be:
default, adm, ansnr, vif-set "phone_model=<value>", where <value> can be:no, yes, both-set "disable_clip=<value>", where <value> can be:true, false| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 default-Y | 8 cores | HD 720p | 492.737 | 0.002 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 477.477 | 0.002 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 213.148 | 0.005 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 213.664 | 0.005 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 48.946 | 0.020 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 50.437 | 0.020 |
| VQMT 13 default-YUV | 8 cores | HD 720p | 365.428 | 0.003 |
| VQMT 13 default-YUV | 1 core enabled | HD 720p | 276.738 | 0.004 |
| VQMT 13 default-YUV | 8 cores | FullHD 1080p | 161.647 | 0.006 |
| VQMT 13 default-YUV | 1 core enabled | FullHD 1080p | 134.382 | 0.007 |
| VQMT 13 default-YUV | 8 cores | UHD 4k 2160p | 37.379 | 0.027 |
| VQMT 13 default-YUV | 1 core enabled | UHD 4k 2160p | 33.964 | 0.029 |
-metr niqe [-dev <OpenCL device>]NIQE performs feature extraction for every 96x96 block of image on 2 scales. Than it computes correlations of features between all blocks and applies leaned model. For more details, please refer to original paper. Since version 13 VQMT can build a block-wise visualization showing contribution of each block to the final result.
This metric has a special aggregated value NIQE mean, it takes a weighted mean filtering abnormal metric values and taking suspicies values with low weight. You can turn this mode using metric settings. Also, please see our paper.
This metric only applicable to filmed scenes. Metric can produce inadequate result if some graphics is on it (including credits, subtitles, etc.). Please, run NIQE excluding all rendered scenes, they can fatally spoil average value. Also, this metric can produce bad result on scenes containing noisy objects, like sand or grass, however on scenes with big constant areas, like monotonic sky. In common case normal metric results lies in the interval 3..20.
Sometimes, metric shows better result for the compressed image and this correlates with human perception. Compressed image not always is perceived as worse. It can occur for example in case of noisy images (if the noise has non-compression nature). This is only metric in VQMT now that can detect increasing of subjective quality in comparison to original.
Sometimes, codec can allow geometry transformation (like shift of heterogeneous objects in frame), that not critical for subjective perception. Objective-reference metrics are very perceptive to such transformation, and in this cases no-reference metric can show result closer to subjective score.
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | HD 720p | 92.981 | 0.011 |
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | FullHD 1080p | 41.738 | 0.024 |
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | UHD 4k 2160p | 10.481 | 0.095 |
| VQMT 13 default-Y | 8 cores | HD 720p | 43.979 | 0.023 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 10.670 | 0.094 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 19.645 | 0.051 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 4.573 | 0.219 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 4.808 | 0.208 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 1.136 | 0.880 |
-set "mean_thresh=<value>", where <value> can be:-set "mean_thresh_smoothing=<value>", where <value> can be:-set "norm_alg=<value>", where <value> can be:fast, native, precise-metr ssim [over <color components>]-metr ssim_precise [over <color components>]-metr ssim_gpu_id [over <color components>]-metr ssim_cuda [over <color components>]-metr ssim [over <color components>] -dev <OpenCL device>Main idea of the structure similarity index (SSIM) is to compare distortion of three image components:
This algorithm uses some window function , and performs convolution with this window, defined as follows:
In fast implementation, it uses box window: , in other implementations (precise, CUDA, OpenCL, GPU identical) it uses Gaussian window with σ= 1.5, N=10. You can note, that formula above uses negative indexes, and indexes out of image area. We should define image values outside of it's edge. In VQMT we spread closest edge pixel to the desired position.
SSIM uses the following convolutions:
And the computed SSIM in each pixel by the following formula:
where , . Destination metric value is arithmetic mean of SSIM values for each pixel. You also can see SSIM for each individual pixel on visualization.
GPU identical, CUDA, OpenCL implementations should produce very similar result. They use Gaussian window as presice implementation. Value of Presice implementation can differs from these ones.
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | HD 720p | 356.442 | 0.003 |
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | FullHD 1080p | 162.801 | 0.006 |
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | UHD 4k 2160p | 42.519 | 0.024 |
| VQMT 13 Fast-Y | 8 cores | HD 720p | 228.253 | 0.004 |
| VQMT 13 Fast-Y | 1 core enabled | HD 720p | 80.533 | 0.012 |
| VQMT 13 Fast-Y | 8 cores | FullHD 1080p | 99.314 | 0.010 |
| VQMT 13 Fast-Y | 1 core enabled | FullHD 1080p | 36.313 | 0.028 |
| VQMT 13 Fast-Y | 8 cores | UHD 4k 2160p | 21.397 | 0.047 |
| VQMT 13 Fast-Y | 1 core enabled | UHD 4k 2160p | 9.369 | 0.107 |
| VQMT 13 Precise-Y | 8 cores | HD 720p | 100.199 | 0.010 |
| VQMT 13 Precise-Y | 1 core enabled | HD 720p | 49.398 | 0.020 |
| VQMT 13 Precise-Y | 8 cores | FullHD 1080p | 44.808 | 0.022 |
| VQMT 13 Precise-Y | 1 core enabled | FullHD 1080p | 22.163 | 0.045 |
| VQMT 13 Precise-Y | 8 cores | UHD 4k 2160p | 10.704 | 0.093 |
| VQMT 13 Precise-Y | 1 core enabled | UHD 4k 2160p | 5.640 | 0.177 |
-metr msssim [over <color components>]-metr msssim_precise [over <color components>]-metr msssim_gpu_id [over <color components>]-metr msssim_cuda [over <color components>]-metr msssim [over <color components>] -dev <OpenCL device>This metric performs SSIM calculation as described in SSIM paragraph for 5 scales of input images. Each next scale divides width and height by 2. The result SSIM values are producted with the following powers: 0.0448, 0.2856, 0.3001, 0.2363, 0.1333.
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | HD 720p | 292.609 | 0.003 |
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | FullHD 1080p | 153.978 | 0.006 |
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | UHD 4k 2160p | 41.315 | 0.024 |
| VQMT 13 Fast-Y | 8 cores | HD 720p | 140.919 | 0.007 |
| VQMT 13 Fast-Y | 1 core enabled | HD 720p | 59.057 | 0.017 |
| VQMT 13 Fast-Y | 8 cores | FullHD 1080p | 62.080 | 0.016 |
| VQMT 13 Fast-Y | 1 core enabled | FullHD 1080p | 26.435 | 0.038 |
| VQMT 13 Fast-Y | 8 cores | UHD 4k 2160p | 13.583 | 0.074 |
| VQMT 13 Fast-Y | 1 core enabled | UHD 4k 2160p | 6.681 | 0.150 |
| VQMT 13 Precise-Y | 8 cores | HD 720p | 60.840 | 0.016 |
| VQMT 13 Precise-Y | 1 core enabled | HD 720p | 28.119 | 0.036 |
| VQMT 13 Precise-Y | 8 cores | FullHD 1080p | 27.262 | 0.037 |
| VQMT 13 Precise-Y | 1 core enabled | FullHD 1080p | 12.176 | 0.082 |
| VQMT 13 Precise-Y | 8 cores | UHD 4k 2160p | 6.669 | 0.150 |
| VQMT 13 Precise-Y | 1 core enabled | UHD 4k 2160p | 3.132 | 0.319 |
-metr 3ssim [over <color components>]-metr 3ssim_cuda [over <color components>]-metr 3ssim [over <color components>] -dev <OpenCL device>3-Component SSIM Index based on region division of source frames. There are 3 types of regions - edges, textures and smooth regions. Result metric calculated as weighted average of SSIM metric for those regions. In fact, human eye can see difference more precisely on textured or edge regions than on smooth regions. Division based on gradient magnitude is presented in every pixel of images.
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | HD 720p | 81.189 | 0.012 |
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | FullHD 1080p | 86.813 | 0.012 |
| VQMT 13 OpenCL-Y | NVidia GeForce GTX 660 Ti | UHD 4k 2160p | 9.364 | 0.107 |
| VQMT 13 default-Y | 8 cores | HD 720p | 52.110 | 0.019 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 30.669 | 0.033 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 23.131 | 0.043 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 13.018 | 0.077 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 5.698 | 0.176 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 3.350 | 0.299 |
The idea of this algorithm is to use motion-oriented weighted windows for SSIM Index. MSU Motion Estimation algorithm is used to retrieve this information. Based on the ME results, weighting window is constructed for every pixel. This window can use up to 33 consecutive frames (16 + current frame + 16). Then SSIM Index is calculated for every window to take into account temporal distortions as well. In addition, another spooling technique is used in this implementation. We use only lower 6% of metric values for the frame to calculate frame metric value. This causes larger metric values difference for difference files.
This metric was temporary removed in VQMT 10.
-metr identity [over <color components>]Metric cas to modes: binary and pixels. In binary mode only two values are possible: 1 if images are pixel-wise similar, 0 if images have at least 1 different value pixel.
In pixel mode the value is proporsion of similar pixels. 1 means all pixels are similar, 0 means all pixels are dirrefent.
-set "mode=<value>", where <value> can be:binary, pixels| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 default-Y | 8 cores | HD 720p | 476.267 | 0.002 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 517.130 | 0.002 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 236.593 | 0.004 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 236.156 | 0.004 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 53.023 | 0.019 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 53.498 | 0.019 |
| VQMT 13 default-YUV | 8 cores | HD 720p | 425.065 | 0.002 |
| VQMT 13 default-YUV | 1 core enabled | HD 720p | 328.717 | 0.003 |
| VQMT 13 default-YUV | 8 cores | FullHD 1080p | 189.175 | 0.005 |
| VQMT 13 default-YUV | 1 core enabled | FullHD 1080p | 161.241 | 0.006 |
| VQMT 13 default-YUV | 8 cores | UHD 4k 2160p | 42.603 | 0.023 |
| VQMT 13 default-YUV | 1 core enabled | UHD 4k 2160p | 39.692 | 0.025 |
This metric was introduce in VQMT 13.
-metr delta [over <color components>]The value of this metric is the mean difference of the color value in the corresponding points of image.
where - video width, - video height, image data are in range 0..1. This formula can be rewriten to the following way: .
This metric doesn't show a quality loss, because it can be 0 for completely different images, but you can detect general brightness shifts using this metric if you are sure images have same structure.
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 default-Y | 8 cores | HD 720p | 512.883 | 0.002 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 495.231 | 0.002 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 221.637 | 0.005 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 225.761 | 0.004 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 50.758 | 0.020 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 51.687 | 0.019 |
Since VQMT 12 metric uses input range 0..1. In legacy mode is assumed input range to be 0..255 and 0..100 for L channel.
-metr msad [over <color components>]This metric has very similar formula to Delta, but has a modulo around the difference:
where - video width, - video height, image data are in range 0..1. Metric depends only on difference of original and distorted, it is -norm of this difference.
Unlike Delta, this metric will show real difference between images, 0 means completely equivalent images.
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 default-Y | 8 cores | HD 720p | 511.594 | 0.002 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 497.523 | 0.002 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 224.310 | 0.004 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 225.746 | 0.004 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 50.950 | 0.020 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 51.451 | 0.019 |
Since VQMT 12 metric uses input range 0..1. In legacy mode is assumed input range to be 0..255 and 0..100 for L channel.
-metr mse [over <color components>]Metric depends only on difference of original and distorted, it is L2-norm of this difference. Metric could be computed using the following formula:
where - video width, - video height, image data are in range 0..1.
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 default-Y | 8 cores | HD 720p | 511.686 | 0.002 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 494.866 | 0.002 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 224.004 | 0.004 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 225.775 | 0.004 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 51.577 | 0.019 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 49.594 | 0.020 |
Since VQMT 12 metric uses input range 0..1. In legacy mode is assumed input range to be 0..255 and 0..100 for L channel.
-metr vqmThis metric uses discrete cosine transform (DCT) to predict human rank. It is different from widely spreaded VQM metric by ITU, that currently not implemented in VQMT. Following calculations are processed to get value of metric:
where DC is the DCT coefficient with indexes (0, 0).
where CSF is Contrast Sensitivity Function. Inverse MPEG-4 default quantization matrix is used as CSF in original article.
Please, refer the original paper for the details.
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 default-Y | 8 cores | HD 720p | 103.883 | 0.010 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 24.360 | 0.041 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 47.902 | 0.021 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 11.205 | 0.089 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 12.045 | 0.083 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 2.848 | 0.351 |
In VQMT 12 we removed input aligning, also metric is optimized.
-metr time-shiftThis metric performes calculation of another metric (base metric: PSNR or SSIM) between each frame of original image and several frames of distorted image. You can choose what interval will be used in settings. This metric can detect such artifacts as skipped frame, duplicated frame, small fps mismatch.
Metric considers, that the best metric value for specific original frame is the correct shift. Metric can prefer smaller shift with base metric value X to bigger shift with metric value Y if , where threshold can be set in metric settings. This helps to avoid random fluctuations.
Also, values of base metric will be smothed over adjacent frames if smoothing is on. This can help in case of very there are very similar adjacent frames in seuqence or the desired frame is absent (for example, negative shift on first frame).
-set "max-shift=<value>", where <value> can be:-set "direction=<value>", where <value> can be:positive, negative, both-set "metric=<value>", where <value> can be:psnr, ssim-set "show-metric=<value>", where <value> can be:true, false-set "threshold=<value>", where <value> can be:-set "smoothing=<value>", where <value> can be:| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 default-Y | 8 cores | HD 720p | 341.820 | 0.003 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 276.412 | 0.004 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 125.327 | 0.008 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 98.154 | 0.010 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 30.121 | 0.033 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 24.025 | 0.042 |
This metric was introduced in VQMT 13.
-metr blurring [over <color components>]-metr blurring_delta [over <color components>]This metric allows you to compare power of blurring of two images. If value of the metric for first picture is greater than for second, it means that second picture is more blurred, than first.
Main features: this metric is fast and doesn't require source video.
This method estimates color variance in the neighborhood of a pixel and computes average variance. This metric has 2 variations:
Notes:
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 Delta-Y | 8 cores | HD 720p | 1062.426 | 0.001 |
| VQMT 13 Delta-Y | 1 core enabled | HD 720p | 998.102 | 0.001 |
| VQMT 13 Delta-Y | 8 cores | FullHD 1080p | 451.868 | 0.002 |
| VQMT 13 Delta-Y | 1 core enabled | FullHD 1080p | 449.640 | 0.002 |
| VQMT 13 Delta-Y | 8 cores | UHD 4k 2160p | 105.745 | 0.009 |
| VQMT 13 Delta-Y | 1 core enabled | UHD 4k 2160p | 107.198 | 0.009 |
| VQMT 13 Sigma-Y | 8 cores | HD 720p | 101.870 | 0.010 |
| VQMT 13 Sigma-Y | 1 core enabled | HD 720p | 38.839 | 0.026 |
| VQMT 13 Sigma-Y | 8 cores | FullHD 1080p | 45.462 | 0.022 |
| VQMT 13 Sigma-Y | 1 core enabled | FullHD 1080p | 17.164 | 0.058 |
| VQMT 13 Sigma-Y | 8 cores | UHD 4k 2160p | 11.145 | 0.090 |
| VQMT 13 Sigma-Y | 1 core enabled | UHD 4k 2160p | 4.211 | 0.237 |
In VQMT 12 metric was optimized, consider correct range, added legacy mode
-metr blockingThis metric contains heuristic method for detecting objects edges, which are placed to the edge of the block. In this case metric value is pulled down, allowing to measure blocking more precisely. This metric also considers image contrast around of block and use it as weight for obtained value.
Notes:
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 default-Y | 8 cores | HD 720p | 403.223 | 0.002 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 117.668 | 0.008 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 182.505 | 0.005 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 56.020 | 0.018 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 44.448 | 0.022 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 14.029 | 0.071 |
In VQMT 12 metric was optimized, consider correct range, added legacy mode.
-metr siThis metric measures complexity (entropy) of an input image. This metric represents simplest SI realization that takes standard deviation of sequence of pixel values (Y-component) of Sobel transformation of input image:
is length of vector , where and are horizontal and vertical Sobel transformation. While calculating Sobel, the edge pixels will be excluded from calculation.
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 default-Y | 8 cores | HD 720p | 339.146 | 0.003 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 95.112 | 0.011 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 149.358 | 0.007 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 44.072 | 0.023 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 37.605 | 0.027 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 11.157 | 0.090 |
This metric firstly imlemented in VQMT 11, then excluded in VQMT 12 and returned in VQMT 13
-metr tiThis metric measures complexity (entropy) of defference between consequent frames of input video. This metric represents simplest TI realization that takes standard deviation of sequence of differences of corresponding pixel values of a frame and previous frame:
| Implementation | System & settings | Resulution | FPS | Sec. per frame |
|---|---|---|---|---|
| VQMT 13 default-Y | 8 cores | HD 720p | 691.497 | 0.001 |
| VQMT 13 default-Y | 1 core enabled | HD 720p | 252.300 | 0.004 |
| VQMT 13 default-Y | 8 cores | FullHD 1080p | 271.375 | 0.004 |
| VQMT 13 default-Y | 1 core enabled | FullHD 1080p | 98.760 | 0.010 |
| VQMT 13 default-Y | 8 cores | UHD 4k 2160p | 67.874 | 0.015 |
| VQMT 13 default-Y | 1 core enabled | UHD 4k 2160p | 25.194 | 0.040 |
This metric firstly imlemented in VQMT 11, then excluded in VQMT 12 and returned in VQMT 13
These images by Compression.RU Team and MSU Video Group distributed under the terms of Creative Commons Attribution Lincense. In the examples we used materials from the following sources:
Please, don't hesitate to contact us in case of any question/problem. We are also open for feature requests
e-mail: video-measure@compression.ru
| e-mail: video-measure@compression.ru |