In the framework of online object retrieval with learning, we address the problem of graph
matching using kernel functions. An image is represented by a graph of regions where the …

In the framework of the interactive search in image databases, we are interested in similarity
measures able to learn during the search and usable in real-time. Images are represented …

Application of multimedia technologies to visual data, like still images and videos, is
receiving an increasing attention especially for the large number of potential innovative …

In this paper, we propose a general framework for graph matching which is suitable for
different problems of pattern recognition. The pattern representation we assume is at the …

This paper presents a graph-theoretic approach for interactive region-based image retrieval.
When dealing with image matching problems, we use graphs to represent images, transform …

Local image features, such as SIFT descriptors, have been shown to be effective for content-
based image retrieval (CBIR). In order to achieve efficient image retrieval using local …

In content-based image retrieval (CBIR), relevance feedback has been proven to be a
powerful tool for bridging the gap between low level visual features and high level semantic …

Graphs can be used for effective representation of images for recognition and retrieval
purposes. The problem is often to find a proper structure that can efficiently describe an …

This paper proposes employing an efficient graph-theoretic approach to estimate the region
correspondence between two images. We represent each image as an attributed graph and …

Feature vectors that are used to represent images exist in a very high dimensional space.
Usually, a parametric characterization of the distribution of this space is impossible. It is …