Emily L. Spratt, Keynote Address: "Searching Through Seeing: Optimizing Computer Vision Technology for the Arts"
Keynote address delivered by Emily L. Spratt, Fellow, Research Department, Frick Art Reference Library. This video is part of a series of lectures from the symposium 'SEARCHING THROUGH SEEING: OPTIMIZING COMPUTER VISION TECHNOLOGY FOR THE ARTS' presented by The Frick Collection and the Frick Art Reference Library on Thursday and Friday, April 12-13, 2018.
This two-day symposium was an initiative to harness existing tools in computer vision science for art-historical research and advise their development. To this end, the symposium brought together professionals from the fields of computer science and art history to identify the precise technological needs for expanding image-based searching as a tool and a methodology with the ultimate aim of building a usable image-search platform with multiple applications in the arts.
Tags
-
6:01Searching Through Seeing: Optimizing Computer Vision Technology for the ArtsApril 12, 2018
-
40:03David G. Stork: "Rigorous Technical Image Analysis of Fine Art: Toward a Computer Connoisseurship"April 12, 2018
-
33:10Douglas Eck, Live Video Presentation: "The Role of AI and Machine Learning in Creativity"April 12, 2018
-
24:52Michael Weinberg: "Optimizing Computer Vision Technology for Autonomous Learning Investment Strategies (ALIS)"April 12, 2018
-
18:48Jennifer Deason: "Personalizing the Art World: Taste Fingerprints and Computer Vision"April 12, 2018
-
25:16Christoph Meinel: "Machine Learning: The Reality Behind Artificial Intelligence"April 12, 2018
-
23:28John R. Smith: "Creativity: The Next Horizon for Artificial Intelligence"April 12, 2018
-
11:12Conrad Rudolph: "FACES 2.0: Faces, Art and Computerized Evaluation Systems"April 13, 2018
-
13:27Sabine Süsstrunk and Frédéric Kaplan: "Deep Learning: Extracting Syntax and Semantics from Images"April 13, 2018
-
11:05Ahmed Elgammal: "ArtPI–The Art API: Artificial Intelligence for Art Recognition"April 13, 2018
-
12:49John Resig: "Implementing Image Similarity Matching: Comparing Open Source and Commercial Solutions"April 13, 2018
-
13:25Peter Bell: "Into Iconography: Understanding Images via Pose, Interaction and Composition"April 13, 2018
-
17:25Nanne Dekking: "Blockchain: The Holy Grail? Use of Immutable Records for Provenance and Art Historical Data"April 13, 2018
-
14:04Samantha Deutch and João Lucas Rulff da Costa: "ARIES: ARt Image Exploration Space"April 13, 2018
-
21:05Park Doing: "Two Cultures or Two Competitors? Borders, Boundaries and Obstacles to Collaboration in Computational Art History"April 13, 2018
-
17:36Björn Ommer: "Understanding Art: Distant Viewing Meets Close Reading"April 13, 2018
-
8:50Sabine Lang: "Understanding Art: A Critical Assessment of Potentials and Challenges"April 13, 2018
-
12:04XY Han, Vardan Papyan, and Anastasia Levadas: "Experiences with Deep Learning for Multi-Label Art Classification”April 13, 2018
-
10:00Carl Stahmer: "Archive-Vision: Using Content Based Image Recognition To Build a World-Wide Library of Early Printed Materials"April 13, 2018
-
9:59Elizabeth Honig: "Human Vision, Computer Technology and the Image Investigation Tool"April 13, 2018