Automated mensuration of objects in scenes can be used as a strategy for automating the assessment of video quality. The Video National Imagery Interpretability Rating Scale (VNIIRS) provides criteria for rating the quality of video according to the level of detail that humans can detect in moving objects. To measure the level of detail in video frames automatically for estimating VNIIRS, commercial off-the-shelf tracking software is used to identify moving objects. A supervised learning algorithm produces segmentation of video frames, and vehicles and people are measured using an automated algorithm to find the size of the targets identified by the moving object detector. The measurements provide an estimate of the ground sampling distance of each video frame. This system of mensuration can be used to rate video quality based on in-scene information only, without relying on source metadata.