On Understanding the Search Problem for Image Spaces

Year: 1999 Authors: Gary R. Greenfield

Core claim

Searching a small mathematical neighborhood around a base image reveals extreme visual variation, so future image-search tools should increase throughput and use automated agents.

Topics

image space search, evolving expressions, art-by-choice, non-linear spaces

Domains

rooted trees, infinite-dimensional space, mutation neighborhoods, mathematical descriptions, computer art, algorithmic art, aesthetic image generation, graphic design

Methods

search methodology, evolutionary algorithm, controlled experiment, image cataloging

Media

computer monitor, color images, gray-scale mode, image-processing filters

Source status

This page publishes metadata and extracted analytical signals only. Raw PDF and full OCR text are kept local for now.