Semantic feedback for interactive image retrieval
Changbo Yang, Ming Dong, Farshad A. Fotouhi · 2005
In this paper we present a semantic image retrieval system with integrated feedback mechanism. In our system, we propose a novel feedback solution for semantic retrieval: semantic feedback, which allows our system to interact with users directly at the semantic level. The learning process of the semantic feedback substantially improves the image retrieval performance of the proposed system. We demonstrate the effectiveness of our approach with experiments using 5,000 images from Corel database.