Interpretation of users feedback is independent of both the content features and relevance feedback schemes, and hence the proposed algorithm can be applicable to any content features and relevance feedback methods;
The RF interpretation is followed by a group of swarmed particles, acting as multiple agents rather than a single query image in searching for the desirable images;
The proposed RF interpretation and learning is exploited not only in reweighting the content similarity measurement, but also in regrouping the database images.