Usporedite metode

	Vizualna mapiranja istaknutosti	Procjena estetske vrijednosti slike
Područje	Likovne umjetnosti	Likovne umjetnosti
Obitelj	Process / pipeline	Process / pipeline
Godina nastanka	1985	2006
Tvorac	Christof Koch and Shimon Ullman	Ritendra Datta
Vrsta	Analytical pipeline	Analytical pipeline
Temeljni izvor	Koch, C., & Ullman, S. (1985). Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry. Human Neurobiology, 4(4), 219–227.	Datta, R., Joshi, D., Li, J., & Wang, J. Z. (2006). Studying Aesthetics in Photographic Images Using a Computational Approach. Computer Vision—ECCV 2006, 3953, 288–301.
Drugi nazivi	Attention Map Generation, Computational Gaze Prediction	Computational Aesthetics Evaluation, Photo Quality Scoring
Srodne	5	5
Sažetak	Visual Saliency Mapping is a computational method for predicting where viewers naturally direct their attention within an image. Grounded in neuroscience and vision science, this pipeline generates attention heat maps that reveal which image regions are most visually compelling, surprising, or distinctive.	Image Aesthetics Assessment is a computational pipeline for predicting and quantifying the aesthetic quality of photographs and digital images. Drawing from computer vision and human perception research, this method extracts low-level visual features and applies machine learning or rule-based scoring to estimate how viewers will perceive image quality and beauty.