Searching Through Seeing: Optimizing Computer Vision Technology for the Arts
-
6:01
Searching Through Seeing: Optimizing Computer Vision Technology for the Arts -
41:00
Emily L. Spratt, Keynote Address: "Searching Through Seeing: Optimizing Computer Vision Technology for the Arts" -
40:03
David G. Stork: "Rigorous Technical Image Analysis of Fine Art: Toward a Computer Connoisseurship" -
33:10
Douglas Eck, Live Video Presentation: "The Role of AI and Machine Learning in Creativity" -
24:52
Michael Weinberg: "Optimizing Computer Vision Technology for Autonomous Learning Investment Strategies (ALIS)" -
18:48
Jennifer Deason: "Personalizing the Art World: Taste Fingerprints and Computer Vision" -
25:16
Christoph Meinel: "Machine Learning: The Reality Behind Artificial Intelligence" -
23:28
John R. Smith: "Creativity: The Next Horizon for Artificial Intelligence" -
11:12
Conrad Rudolph: "FACES 2.0: Faces, Art and Computerized Evaluation Systems" -
13:27
Sabine Süsstrunk and Frédéric Kaplan: "Deep Learning: Extracting Syntax and Semantics from Images" -
11:05
Ahmed Elgammal: "ArtPI–The Art API: Artificial Intelligence for Art Recognition" -
12:49
John Resig: "Implementing Image Similarity Matching: Comparing Open Source and Commercial Solutions" -
13:25
Peter Bell: "Into Iconography: Understanding Images via Pose, Interaction and Composition" -
17:25
Nanne Dekking: "Blockchain: The Holy Grail? Use of Immutable Records for Provenance and Art Historical Data" -
14:04
Samantha Deutch and João Lucas Rulff da Costa: "ARIES: ARt Image Exploration Space" -
21:05
Park Doing: "Two Cultures or Two Competitors? Borders, Boundaries and Obstacles to Collaboration in Computational Art History" -
17:36
Björn Ommer: "Understanding Art: Distant Viewing Meets Close Reading" -
8:50
Sabine Lang: "Understanding Art: A Critical Assessment of Potentials and Challenges" -
12:04
XY Han, Vardan Papyan, and Anastasia Levadas: "Experiences with Deep Learning for Multi-Label Art Classification” -
10:00
Carl Stahmer: "Archive-Vision: Using Content Based Image Recognition To Build a World-Wide Library of Early Printed Materials" -
9:59
Elizabeth Honig: "Human Vision, Computer Technology and the Image Investigation Tool"
