LINGRAND , Diane

Cet ouvrage est une introduction pragmatique au traitement d'images. Il passe en revue les algorithmes classiques de traitement d'images tout en les rapprochant d'applications concrètes. Il vise également à démystifier un certain nombre de techniques récentes dont les fondements théoriques sont complexes mais qui peuvent être abordées de façon...

Production grids exhibit high failure rates ham- pering the development of many large scale scientific ap- plications. End users require robust experiment production environments ensuring efficient resubmission of failed tasks. Proper parameterization of resubmission strategies is a com- plex problem that depends on the non-stationary workload...

Deformable contours are now widely used in image segmentation, using different models, criteria and numerical schemes. Some theoretical comparisons between some deformable model methods have already been published. Yet, very few experimental comparative studies on real data have been reported. In this paper,we compare a levelset with a B-spline...

Production-grid users experience many system faults as well as high and variable latencies due to the scale, complexity and sharing of such infrastructures. To improve performance, they adopt different submission strategies, that are potentially aggressive for the infrastructure. This work studies the impact of three different strategies. It is...

The burst of video production appeals for new browsing frameworks. Chiefly in sports, TV companies have years of recorded match archives to exploit and sports fans are looking for replay, summary or collection of events. In this work, we design a new multi-resolution motion feature for video abstraction. This descriptor is based on optical flow...

Workflow engines are powerful tools to implement data- intensive scientific applications exploiting parallel grid resources transparently. We discuss the advantages of impelmenting applications as workflows of services when dealing with large data sets. We show how the graph of services associated with data composition operators enable the...

In this paper, we study grid job submission latencies. The latency highly impacts performances on production grids, due to its high values and variations as well as the presence of outliers. It is particularly prejudicial for determining the status and expected duration of jobs. In a previous work, a probabilistic model of the latency is...

Previous works have presented a probabilistic model of the latency of the grid depending on parameters characterizing the workload. In this paper, we study both the validity of parameters along several weeks and the influence of the day of the week. We show that performance can be improved by the actualization of model parameters.

To build a detailed knowledge of the biodiversity, the geo-graphical distribution and the evolution of the alive speciesis essential for a sustainable development and the preser-vation of this biodiversity. Massive databases of underwa-ter video surveillance have been recently made available forsupporting designing algorithms targeting the...

In this paper, we study grid job submission latencies. The latency highly impacts performances on production grids, due to its high values and variations as well as the presence of outliers. It is particularly prejudicial for determining the status and expected duration of jobs. In a previous work, a probabilistic model of the latency is...

In this paper, we study grid job submission latencies. The latency highly impacts performances on production grids, due to its high values and variations as well as the presence of outliers. It is particularly prejudicial for determining the status and expected duration of jobs. In a previous work, a probabilistic model of the latency is...

International audience

Levelset methods were introduced in medical images segmentation by Malladi et al in 1995. In this paper, we propose several improvements of the original method to speed up the algorithm convergence and to improve the quality of the segmentation in the case of cardiac gated SPECT images. We studied several evolution criterions, taking into...

In this paper, we study grid jobs latency. Together with outliers, latency highly impacts applications performance on production grids, due to its order of magnitude and important variations. It is particularly prejudicial for determining the expected duration of applications handling a high number of jobs and it makes outliers detection...

Grid are promising tools to tackle massively parallel medical applications such as medical image databases indexation but their complexity make the optimization of computation tasks and the design of computing models difficult. We tackle this complexity by a probabilistic approach. We have shown that a probabilistic model of the computing tasks...

Production-grid users experience many system faults as well as high and variable latencies due to the scale, complexity and sharing of such infrastructures. To improve performance, they adopt different submission strategies, that are potentially aggressive for the infrastructure. This work studies the impact of three different strategies. It is...

As Deep Learning tackles complex tasks like trajectory forecasting in autonomous vehicles, a number of new challenges emerge. In particular, autonomous driving requires accounting for vast a priori knowledge in the form of HDMaps. Graph representations have emerged as the most convenient representation for this complex information....

Although Service-Oriented principles have been widely adopted by High Throughput Computing infrastructure designers, the integration between SOA and HTC is made difficult by legacy. jGASW is a framework for wrapping legacy scientific applications as Web Services and integrating them into an intensive computing-aware SOA framework. It maps...

This paper targets with applications running on mobile devices and using context informations. Following previous studies from other authors, we extend the notion of context area replacing distance function by cost function. Using this extension, we exhibit three different modes of selection and demonstrate their differences on a mobile...

This paper targets with applications running on mobile devices. We aim at developing a formalism and a framework to simplify the development of applications taking into account the context in which they are running, whatever this context may be. Following previous studies from other authors, we extend the notion of context area using distance...

Grids reliability remains an order of magnitude below clusters on production infrastructures. This work is aims at improving grid application performances by improving the job submission system. A stochastic model, capturing the behavior of a complex grid workload management system is proposed. To instantiate the model, detailed statistics are...

International audience

With the maturity of machine learning methods to provide satisfying Content-Based Image Retrieval systems (CBIR), research focus has recently turned back towards visual saliency analysis. The goal in these works is to extract even more efficient visual features than the existing ones. However, analyzing visual saliency is critically dependent...

In this paper, we describe a Service-Oriented Architecture allowing the optimization of the execution of service workflows. We discuss the advantages of the service-oriented approach with regard to the enactment of scientific applications on a grid infrastructure. Based on the development of a generic Web-Services wrapper, we show how the...

In this paper, we examine how the execution context of grid jobs can help to refine submission strategies on a production grid. On this kind of infrastructure, the latency highly impacts performances. We present experiments that quantify the dependencies between the grid latency and both internal and external context parameters on the EGEE grid...