Spatiotemporal Saliency

A computer vision technique that estimates, for each pixel in a video, how visually important it is at a given moment by combining spatial contrast (features that stand out within a frame) with temporal contrast (regions that change or move differently from their recent history). The result is a saliency map that highlights the areas most likely to attract human visual attention. In accessibility-adjacent work, spatiotemporal saliency is used to guide video-to-haptics pipelines, focus automated image description, and drive sonification or vibration of the most salient regions of a video for non-visual consumption.