We propose a novel approach for determining if a pair of images match each other under the effect of a highdistortion transformation or non-structural relation. The co-occurrence ...
This paper proposes an image compression approach, in which we incorporate primal sketch based learning into the mainstream image compression framework. The key idea of our approa...
This paper proposes employing a graph-theoretic approach to estimate the region correspondence between two images. We represent each image as an attributed undirected graph and tr...
In this paper, we propose a new method to cross-media semantic-based information retrieval, which combines classical text-based and content-based image retrieval techniques. This ...
In fractal image compression a partitioning of the image into ranges is required. In our previous work [1] we have proposed to find good partitionings by means of a split-andmerg...