Fast video temporal alignment estimation

摘要

A fast temporal alignment estimation method for temporally aligning a distorted video with a corresponding source video in order to perform accurate video quality measurements transforms each video into a corresponding signature curve by calculating a data point for each frame. The data points are calculated as a cross-correlation between a present frame and a subsequent frame in the video. The signature curves are then matched using a normalized cross-correlation algorithm to compute the temporal misalignment between the videos so that the video signals may be temporally aligned. Fast spatial alignment may then be performed and accurate video quality measurements made.