Using an artificial imagination for texture retrieval

Our goal is to determine if artificially imagined or synthesized images can be beneficial to interactive visual search. We present a novel approach for using artificially imagined images in relevance feedback. Since the search engine constructs the synthetic images itself, any feedback given by the user on these images allows it to obtain a better understanding of what the user is looking for than it would from feedback on database images alone. We evaluated and compared our image synthesis approach with a normal Rocchio-based system on a well-known texture database with real users.