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Moving image · 2024

MemoryGrid

Six hundred travel photographs become an associative moving-image archive.

A visitor viewing a projected network of image fragments.

A five-minute moving-image work transforming 600 photographs from a London study trip into an AI-generated visual diary of travel, learning and cultural encounter.

Rather than presenting the trip chronologically, MemoryGrid uses computational analysis to reveal visual relationships across landmarks, everyday scenes and fleeting observations. Memory becomes a network: associative, layered and continually in motion.

Medium
Single-channel digital video, colour, silent
Duration
5 minutes
Display
65-inch 4K UHD TV
Exhibition
ArtSense · CityU School of Creative Media Annual Show 2024

Project framework

Role, tools and collaboration

Role
Artist and creative coder · Concept, data preparation and moving image
Tools
  • Python
  • Machine vision
  • Image clustering
  • 4K video
Status
Completed work · Five-minute exhibition version
Collaboration
Independent project developed for the ArtSense exhibition context.

Process and approach

01

Image archive

Six hundred photographs were selected from the artist’s London study-trip archive.

02

Machine vision

Recognition, clustering and generative techniques reveal visual relationships across the collection.

03

Temporal composition

Images flow as an associative narrative, mirroring the way recollections connect across time.