Video calibration for spatial-temporal registration with gain and offsets adjustments

For most video quality measurement algorithms, a processed video sequence and the corresponding source video sequence need to be aligned in the spatial and temporal directions. Furthermore, when the source video sequences are encoded and transmitted, gain and offset can be introduced. The estimation process, which estimates spatial shins, temporal shift, gain and offset, is known as video calibration. In this paper, we proposed a video calibration method for full-reference and reduced-reference video quality measurement algorithms. The proposed method extracts a number of features from source video sequences. Using these features, we perform video calibration. Experimental results show that the proposed method provides good performance and the proposed method was included in an international standard.