When computers look at art Computer vision, deep learning, and artificial intelligence in the study of fine art paintings and drawings

Speaker:  David G. Stork – Portola Valley, CA, United States
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


Our cultural heritage of fine art paintings and drawings includes some of the most important images and most valuable objects ever created.  Recently, a small but growing group of researchers in computer science are teaming with conservators, art historians, and art critics to apply computer vision and artificial intelligence to previously unsolved problems in the history and interpretation of such art.  

Artworks present a wealth of problems rather different from the natural photographs, medical images, remote images, and vehicle guidance images that preoccupy traditional AI research.  For example art images appear in a wealth of visual styles, can depict of non-existent objects (unicorns, halos, etc.), break physical conventions in sizes, perspective, and so forth.  Furthremore, much modern art is abstract.  Most importantly, many artworks convey messages, stories, or meanings well beyond the power of current semantic image analysis.

Computer methods open new classes of problems, for instance analyzing trends in tens of thousands of artworks over many centuries—trends in the poses of figures, compositional principles in landscapes, color schemes, and so on.  Such computer-based connoisseurship, which would take many years of work of a lone unaided art scholar can now be performed extremely rapidly by computer.

This gorgeous talk, profusely illustrated with masterpiece paintings and drawings, will illustrate how artificial intelligence is changing how we study, and thus understand our cultural heritage.

You will see art in new ways, and understand new vistas for artificial intelligence research.

About this Lecture

Number of Slides:  50
Duration:  80 minutes
Languages Available:  English
Last Updated: 

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