Relevance feedback in image retrieval system by region growing in the feature space
We propose a relevance feedback algorithm based on region growing in the feature space, where most conventional algorithms are based on weight updating. By adaptively expanding match regions based on the user's feedback, the region can have arbitrary shape in the feature space, whereas the weight update methods have typical hyper-ellipsoidal shape. As a result, the proposed algorithm shows matching results with higher precision.