Computational Aesthetics Lecture
Nowadays, digital images and video are everywhere. Image Processing revolutionizes very many domains, notably:
-Digital Media (video/image/movie) Content Production and Broadcasting, Social Media Analytics,
-Medical/Biological/Dental Imaging and Diagnosis,
-Big Visual Data Analytics,
-Internet and Communications (media broadcasting, streaming).
-Scientific Imaging of any sort, e.g., Remote Sensing, Environment Sensing.
Photoshop and many other image processing tools are ubiquitous.
Furthermore, Image Processing is typically the first step that enables diverse applications, in unison with Computer Vision and Machine Learning:
-Autonomous Systems (cars, drones, vessels) Perception,
-Robotics Perception and Control,
-Intelligent Human-Machine Interaction,
-Anthropocentric (human-centered) Computing,
-Smart Cities/Buildings and Assisted living.
This lecture overviews Computational Aesthetics that has many applications in visual arts and computer graphics. It covers the following topics in detail: Neuroaesthetics. Computational Aesthetics. Critical problems in aesthetics. Connection with Deep Learning. Facial Attractiveness Prediction Paintings – Generative art.