Visual information retrieval using synthesized imagery
Bart Thomée, Mark J. Huiskes, Erwin M. Bakker, Michael S. Lew · 2007
In this project (VIRSI) we investigate the promising content-based retrieval paradigm known as interactive search or relevance feedback, and aim to extend it through the use of synthetic imagery. In relevance feedback methods, the user himself is a key factor in the search process as he provides positive and negative feedback on the results, which the system uses to iteratively improve the set of candidate results. In our approach we closely integrate the generation of synthetic imagery in the relevance feedback process through a new fundamental paradigm: Artificial Imagination (AIm).