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Haute Ecole de Gestion & Tourisme

Div400 : a social image retrieval result diversification

Ionescu, Bogdan ; Radu, Anca-Livia ; Menéndez, María ; Müller, Henning ; Popescu, Adrian ; Loni, Babak

In: Proceeding of the 5th ACM Multimedia Systems Conference, 2014, p. 29-34

In this paper we propose a new dataset, Div400, that was designed to support shared evaluation in different areas of social media photo retrieval, e.g., machine analysis (re-ranking, machine learning), human-based computation (crowdsourcing) or hybrid approaches (relevance feedback, machinecrowd integration). Div400 comes with associated relevance and diversity assessments performed by human...

Haute Ecole de Gestion & Tourisme

Using Probability Maps for Multi-organ Automatic Segmentation

Joyseeree, Ranveer ; Jiménez del Toro, Oscar Alfonso ; Müller, Henning

In: Lecture Notes in Computer Science, 2014, vol. 8331, p. 222-228

Organ segmentation is a vital task in diagnostic medicine. The ability to perform it automatically can save clinicians time and labor. In this paper, a method to achieve automatic segmentation of organs in three-dimensional (3D), non–annotated, full–body magnetic resonance (MR), and computed tomography (CT) volumes is proposed. According to the method, training volumes are registered to a...

Haute Ecole de Gestion & Tourisme

Finding seed points for organ segmentation using example annotations

Joyseeree, Ranveer ; Müller, Henning

In: SPIE 9034, Medical Imaging 2014: Image Processing, 903444, 2014, p. 1 - 9

Organ segmentation is important in diagnostic medicine to make current decision{support tools more effective and effcient. Performing it automatically can save time and labor. In this paper, a method to perform automatic identification of seed points for the segmentation of organs in three{dimensional (3D) non{annotated, full-body magnetic resonance (MR) and computed tomography (CT) volumes is...

Haute Ecole de Gestion & Tourisme

MUSYOP: Towards a Query Optimization for Heterogeneous Distributed Database System in Energy Data Management

Liu, Zhan ; Cretton, Fabian ; Le Calvé, Anne ; Glassey, Nicole ; Cotting, Alexandre ; Chapuis, Fabrice

In: Proceedings of the International conference on Computing Technology and Information Management, Dubai, UAE, 2014 ISBN: 978, 2014, p. 1-9

The integration of data from multiple distributed and heterogeneous sources has long been an important issue in information system research. In this study, we considered the query access and its optimization in such an integration scenario in the context of energy management by using SPARQL. Specifically, we provided a federated approach - a mediator server - that allows users to query access to...

Haute Ecole de Gestion & Tourisme

Medical Image Retrieval using Bag of Meaningful Visual Words : Unsupervised visual vocabulary pruning with PLSA

Foncubierta-Rodríguez, Antonio ; García Seco de Herrera, Alba ; Müller, Henning

In: Workshop on Multimedia Information Indexing and Retrieval for Healthcare, ACM Multimedia, FGM2013, 2013, p. 75-82

Content-based medical image retrieval has been proposed as a technique that allows not only for easy access to images from the relevant literature and electronic health records but also for training physicians, for research and clinical decision support. The bag-of-visual-words approach is a widely used technique that tries to shorten the semantic gap by learning meaningful features from the...

Haute Ecole d'Ingénierie

Design optimization of a 2D blade by means of milling tool path

Vessaz, Christian ; Tournier, Christophe ; Münch, Cécile ; Avellan, François

In: CIRP Journal of Manufacturing Science and Technology, 2013, vol. 6, no. 3, p. 157–166

In a conventional design and manufacturing process, turbine blades are modeled based on reverse engineering or on parametric modeling with Computer Fluids Dynamics (CFD) optimization. Then, only raises the question of the manufacturing of the blades. As the design does not take into account machining constraints and especially tool path computation issues in flank milling, the actual performance...

Haute Ecole de Gestion & Tourisme

Three-dimensional solid texture analysis in biomedical imaging : review and opportunities

Depeursinge, Adrien ; Foncubierta-Rodriguez, Antonio ; Ville, Dimitri Van De ; Müller, Henning

In: Medical Image Analysis, 2014, vol. 18, no. 1, p. 176–196

Three-dimensional computerized characterization of biomedical solid textures is key to large-scale and high-throughput screening of imaging data. Such data increasingly become available in the clinical and research environments with an ever increasing spatial resolution. In this text we exhaustively analyze the state-of-the{art in 3-D biomedical texture analysis to identify the specific needs of...

Haute Ecole de Gestion & Tourisme

Enhancement of Conference organization using ontology based information correlation

Noureddine ; Jarkass, Iman ; Sokhn, Maria ; Abou Khaled. Omar ; Mugellini

In: Computer Science and Information Technology, 2014, vol. 2, no. 2, p. 63-71

The world today witnessed an important transmission to the virtual world across the web. After years of interaction and exchanges between people, the web becomes saturated with enormous quantity of data in various fields. Therefore, the (semi-)automatic applications become necessity to find appropriate information in a brief time. In this context, we propose a new approach of ontology based...

Haute Ecole de Gestion & Tourisme

Determining the importance of figures in journal articles to find representative images

Müller, Henning ; Foncubierta-Rodriguez, Antonio ; Lin, Chang ; Eggel, Ivan

In: SPIE Proceedings, 2013, vol. 8674, p. 9

When physicians are searching for articles in the medical literature, images of the articles can help determining relevance of the article content for a specific information need. The visual image representation can be an advantage in effectiveness (quality of found articles) and also in efficiency (speed of determining relevance or irrelevance) as many articles can likely be excluded much...

Haute Ecole de Gestion & Tourisme

Cloud-based Evaluation Framework for Big Data

Hanbury, Allan ; Müller, Henning ; Langs, Georg ; Menze, Bjoern H.

In: Lecture Notes in Computer Science, 2013, vol. 7858, p. 104-114

The VISCERAL project is building a cloud-based evaluation framework for evaluating machine learning and information retrieval algorithms on large amounts of data. Instead of downloading data and running evaluations locally, the data will be centrally available on the cloud and algorithms to be evaluated will be programmed in computing instances on the cloud, effectively bringing the algorithms to...