“Deep Learning Algorithms as Potential Solutions to Challenges in Video Art Preservation” presented by Chow and Chan
Session Title:
Summit on New Media Art Archiving (short papers)
Presentation Title:
Deep Learning Algorithms as Potential Solutions to Challenges in Video Art Preservation
Presentation Subtheme:
Fourth Summit on New Media Art Archiving
Presenter(s):
Abstract:
Video artworks created in analog format present unique preservation challenges due to technological and personnel limitations. Current restoration approaches, including re-transferring from master tapes and digital image processing, are imperfect solutions. This paper explores the use of deep-learning algorithms to recover common defects in analog video art. It emphasizes the crucial need for a paradigm shift of concept in media art preservation for a possible way out from the long drastic debate on digital restoration measurement regarding the physical, aesthetical, and historical authenticity of preserving analog media artwork.
