Jean-Philippe Domenger

Learn More
In this paper, we present an algorithm, called Bubble Tree, for the drawing of general rooted trees. A large variety of algorithms already exists in this field. However, the goal of this algorithm is to obtain a better drawing which makes a trade off between the angular resolution and the length of the edges. We show that the Bubble Tree drawing algorithm(More)
In this paper, we tackle the problem of matching of objects in video in the context of the rough indexing paradigm. The approach developed is based on matching of region adjacency graphs (RAG) of pre-segmented objects. In the context of the rough indexing paradigm, the video data are of very low resolution and segmentation is consequently inaccurate. Hence(More)
In medical imaging, the Radon transform, used for tomographic reconstruction, recovers a N-Dimensional image from a set of acquired (N-1)D projections. However, it implies approximations in discrete domain. Beside this transform, Mojette transform has been developped as a discrete and exact transform. However, its construction is incompatible with physical(More)
The problem of graph layout and drawing is fundamental to many aproaches to the visualization of relational information structures. As the data set grows, the visualization problem is compounded by the need to reconcile the user’s need for orientation cues with the danger of information overload. Put simply: How can we limit the number of visual elements on(More)
We show the structure of the InfoVis publications dataset using Tulip, a scalable open-source visualization system for graphs and trees. Tulip supports interactive navigation and many options for layout. Subgraphs of the full dataset can be created interactively or using a wide set of algorithms based on graph theory and combinatorics, including several(More)
In the problem of "human sensing", videos recorded with wearable cameras give an "egocentric" view of the world, capturing details of human activities. In this paper we continue research on visual saliency for such kind of content with the goal of "active" objects recognition in egocentric videos. In particular, a geometrical cue is considered in case when(More)
In this paper, we tackle the problem of matching of objects in video in the context of the rough indexing paradigm. In this context, the video data are of very low resolution and segmentation is consequently inaccurate. The region features (texture, color, shape) are not strongly relevant due to the resolution. The structure of the objects must be(More)
The paper addresses the problem of object search in video content. Both Query-By-Example paradigm and context search are explored. In QBE paradigm the object of interest is searched by matching of object signatures built from SURF descriptors with on-the-fly computed signatures in frames. The ”context” search is understood as a query on the(More)