Forecasting of viewers’ discomfort
How do distortions in a stereo movie affect the discomfort of viewers?
Automatic detection and analysis of techniques for 2D to 3D video conversion
What conversion methods were used and how much the original frames are distorted?
Automatic color mismatch estimation in S3D videos using confidence maps
How to detect color distortion between the angles of a 3D video?
Detection of object boundary inconsistencies between 2D-3D conversion results and depth maps
How to find foreground objects that are stuck to the background?
MSU Quality Measurement Tool: Metrics information
Automatic local color correction in S3D video
How to eliminate color distortion between stereo video views?
Detection of swapped views in S3D movies
Channel mismatch is hard to detect, but our neural network method shows very high precision.
Automatic sharpness mismatch detection and compensation in stereo
While watching movies with sharpness mismatch the spectator may lose sense of 3D or even get a headache.
Call for HEVC codecs 2019
Fourteen modern video codec comparison
MSU Video Quality Measurement Tool (PSNR, MSE, VQM, SSIM)
MSU Video Quality Measurement Tool (VQMT) is a program for objective video quality assessment.
MSU Video Quality Measurement Tool: Manual (PSNR, Delta, VQM, SSIM)
Manual on video quality measurement tool
HEVC Video Codecs Comparison 2018 (Thirteen MSU Video Codec Comparison)
13th MSU video codecs comparison
MSU Perceptual Video Quality Tool
Easy subjective video testing organization for companies and universities
HEVC Video Codecs Comparison 2017 (Twelfth MSU Video Codec Comparison)
12th MSU video codecs comparison
Shot-by-Shot Movie Version Comparison
Some movies are released in two or more versions. We propose an algorithm for fully automatic construction of an editing map of two movie versions.
MSU Video Codec Comparisons (6 test of lossless, MPEG-4 and MPEG-4 AVC)
Call for HEVC codecs 2018
Effective Video Transcoding
SAVAM - the database
During our work we have created the database of human eye-movements captured while viewing various videos
MSU Scene Change Detector (SCD)
Automatically identify scene boundaries in video sequence.
MSU Noise Estimation Metric (NE)
Estimator of noise level for video.
MSU Drop Frames Metric (DFM)
Calculation of number of drop-frames in sequence.
MSU Brightness Independent PSNR (BI-PSNR)
Measuring distortions in video taking into account brightness shifts.
MSU Brightness Flicking Metric (BFM)
Measure flicking quantity between neighboring frames of the sequence.