Automatically evaluating the aesthetic qualities of a photograph is a current challenge for artificial intelligence technologies, yet it is also an opportunity to open up new economic and social possibilities.
Aesthetics in Digital Photography presents theories developed over the last 25 centuries by philosophers and art critics, who have sometimes been governed by the objectivity of perception, and other times, of course, by the subjectivity of human judgement. It explores the advances that have been made in neuro-aesthetics and their current limitations.
In the field of photography, this book puts aesthetic hypotheses up against experimental verification, and then critically examines attempts to “scientifically” measure this beauty. Special attention is paid to artificial intelligence techniques, taking advantage of machine learning methods and large databases.
1. The Legacy of Philosophers.
2. Neurobiology or the Arbitrator of Consciousness.
3. What Are the Criteria For a Beautiful Photo?
4. Algorithmic Approaches to “Calculate” Beauty.
5. The Holy Grail of the Digital World: Artificial Intelligence.
6. Primitive-based Classification Methods.
7. Deep Neural Network Systems.
8. A Critical Analysis of Machine Learning Techniques.
Henri Maître is Emeritus Professor at Télécom-Paris in France and was director of research at Télécom-Paris and the LTCI laboratory. He specializes in image processing and pattern recognition.
Table of Contents
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