Patent ID: 7546293

Claim:
A method for improving iterative results of Content-Based Image Retrieval (CBIR) using relevance feedback, the method comprising: obtaining by a CBIR system configured to facilitate relevance maximizing, iteration minimizing, relevance-feedback CBIR a set of positive feedback images and separately a set of negative feedback images which are stored in a computer-readable storage medium and identified by a user, wherein the set of positive feedback images and the set of negative feedback images are disjoint, and the set of positive feedback images are those images deemed semantically relevant and the set of negative feedback images are those deemed semantically less relevant; within a feature space, moving, by the CBIR system, a positive candidate image towards the set of positive feedback images by adjusting distance metrics of the positive candidate image, the positive candidate image having similar low-level features as those of the set of positive feedback images, within a feature space, distancing, by the CBIR system, a negative candidate image from the set of positive feedback images by adjusting distance metrics of the negative candidate image, the negative candidate image having similar low-level features as those of the set of negative feedback images; constructing, by the CBIR system, a Bayesian classifier of a positive feedback image by positive candidate images.