Visual Saliency
Also known as: Saliency Detection, Visual Attention Prediction
A computer vision concept referring to the degree to which visual elements attract attention compared to their surroundings. Saliency detection models predict which parts of an image or video frame will draw the viewer eye first, based on factors like contrast, color, motion, and semantic content. In accessibility applications, saliency models can identify the most visually prominent elements in a video to determine the primary speaker or content, enabling automatic layout customization that preserves attention-attracting elements while removing less salient distractions.
Category: computer vision · cognitive science
Related: Object Detection · Speaker Segmentation · Computer Vision · Attention Management