The time machine: A multiscreen generative video artwork

Buzzo, Daniel

Abstract

© 2017 Copyright is held by the owner/author(s). 'The Time Machine' is a multi-screen, high-performance, generative video art installation based around multiple low cost computer platforms. Using algorithmic selection of palindromic loops of timelapse video the work contrasts the external, machine perception of time with our internal, phenomenological experience of it. The video feeds, recorded from around the world, tick and tock backward and forward creating a polyrhythmic, 12 screen time-piece. The images loop back and forth on each screen of the installation, creating a large polyrhythmic clock of high definition, full colour motion. Each screen detailing a passage of time from around the world, captured, frozen, forward and reverse. The time-lapse loops slowly switch, selected from over a thousand separate pieces by generative algorithms on each host computer. Creating a Time Machine reflecting the world, gently rocking back and forth with a myriad of sub-cadences, confronting the viewer with the unanswerable challenge of comprehending time.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: ACM International Conference Proceeding Series
• Start Date: Sep 6, 2017
• End Date: Sep 8, 2017
• Acceptance Date: Jun 5, 2017
• Publication Date: Sep 6, 2017
• Deposit Date: Sep 27, 2017
• Publicly Available Date: Sep 27, 2017
• Peer Reviewed: Peer Reviewed
• Volume: Part F130947
• Pages: 199-205
• ISBN: 9781450352734
• DOI: https://doi.org/10.1145/3106548.3106617
• Keywords: media art, generative art, video installation, multiscreen, time, temporality
• Public URL: https://uwe-repository.worktribe.com/output/881685
• Publisher URL: http://dx.doi.org/10.1145/3106548.3106617
• Related Public URLs: http://www.buzzo.com
• Additional Information: Additional Information : Copyright the author; Title of Conference or Conference Proceedings : ARTECH2017: Proceedings of the 8th International Conference on Digital Arts
• Contract Date: Sep 27, 2017