A linear system of equations with constraints for multipoint queries in image retrieval

In this paper, we argue that two inferences can be made from the results of recent studies: the continuity of image representation and the non-homogeneity of feature space. These characteristics enable the identification of points that satisfy the constraints established in multipoint queries in any orthogonal feature representations. The set can be described by a linear system of equations with constraints. We look at several existing techniques and propose one that can retrieve the set efficiently. We evaluated the performance of our present technique on large sets of images. The results indicate that the new representation matches semantic classes of images very well. The superiority of our approach is evident in the experimental results and in actual implementation.