Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

Gestion de contenu d'entreprise

Publications associées (20)

End-to-End Task-Oriented Dialog Modeling With Semi-Structured Knowledge Management

Antoine Bosselut, Silin Gao

Current task-oriented dialog (TOD) systems mostly manage structured knowledge (e.g. databases and tables) to guide the goal-oriented conversations. However, they fall short of handling dialogs which also involve unstructured knowledge (e.g. reviews and doc ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Digitised Newspapers – A New Eldorado for Historians? Reflections on Tools, Methods and Epistemology

Maud Ehrmann

The application of digital technologies to historical newspapers has changed the research landscape historians were used to. An Eldorado? Despite undeniable advantages, the new digital affordance of historical newspapers also transforms research practices ...

De Gruyter2022

Digitised Historical Newspapers: A Changing Research Landscape (Introduction)

Maud Ehrmann

The application of digital technologies to newspaper archives is transforming the way historians engage with these sources. The digital evolution not only affects how scholars access historical newspapers, but also, increasingly, how they search, explore a ...

De Gruyter Oldenbourg2022

Model-Based Systems Engineering Tool-Chain for Automated Parameter Value Selection

Dimitrios Kyritsis, Jinzhi Lu

Cyber-physical systems (CPSs) integrate heterogeneous systems and process sensor data using digital services. As the complexity of CPS increases, it becomes more challenging to efficiently formalize the integrated multidomain views with flexible automated ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Successive Refinement to Caching for Dynamic Requests

Michael Christoph Gastpar

In the celebrated coded caching problem studied by Maddah-Ali and Niesen, the peak-traffic network load is to be reduced by first caching some information about contents into individual memories of end users during the off-peak hours and then upon user req ...

IEEE2020

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

Nicola Marzari, Giovanni Pizzi, Christoph Leopold Talirz, Nicolas Frank Mounet, Andrea Cepellotti, Leonid Kahle, Fernando Gargiulo, Martin Uhrin, Sebastiaan Philippe Huber, Aliaksandr Yakutovich, Snehal Pramod Kumbhar, Carl Simon Adorf, Francisco Fernando Ramirez, Casper Welzel Andersen, Conrad Johnston, Spyros Zoupanos, Elsa Passaro

The ever-growing availability of computing power and the sustained development of advanced computational methods have contributed much to recent scientific progress. These developments present new challenges driven by the sheer amount of calculations and d ...

2020

Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances

Daniel Thalmann

In this work, we resolve a big challenge that most current image quality metrics (IQMs) are unavailable across different image contents, especially simultaneously coping with natural scene (NS) images or screen content (SC) images. By comparison with exist ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Index-Driven Digitization and Indexation of Historical Archives

Maud Ehrmann, Giovanni Colavizza

The promise of digitization of historical archives lies in their indexation at the level of contents. Unfortunately, this kind of indexation does not scale, if done manually. In this article we present a method to bootstrap the deployment of a content-base ...

2019

Spherical Clustering of Users Navigating 360° Content

Pascal Frossard, Laura Toni, Francesca De Simone

In Virtual Reality (VR) applications, understanding how users explore the omnidirectional content is important to optimize content creation, to develop user-centric services, or even to detect disorders in medical applications. Clustering users based on th ...

IEEE2019

Visual Distortions in 360-degree videos (Dataset)

Pascal Frossard, Francesca De Simone, Roberto Gerson De Albuquerque Azevedo

Here we catalog, visually demonstrate, and discuss the main causes of commonly encountered visual distortions into current 360-degree video processing pipelines. The main goal of the samples in this dataset is to demonstrate the visual distortions discusse ...

2019

Enhancing Social Media Platforms for Educational and Humanitarian Knowledge Sharing : Analytics, Privacy, Discovery, and Delivery Aspects

Andrii Vozniuk

Social media (SM) platforms have demonstrated their ability to facilitate knowledge sharing on the global scale. They are increasingly often employed in educational and humanitarian domains where, despite their general benefits, they expose challenges pecu ...

EPFL2017

Combining Content Analytics and Activity Tracking to Identify User Interests and Enable Knowledge Discovery

Denis Gillet, Adrian Christian Holzer, Maria Jesus Rodriguez Triana, Andrii Vozniuk

Finding relevant content is one of the core activities of users interacting with a content repository, be it knowledge workers using an organizational knowledge management system at a workplace or self-regulated learners collaborating in a learning environ ...

2016

Analysis and Synthesis of Structured Variations in 3D Geometries

Ngoc Minh Dang

In recent years, the use of 3D digital content becomes widespread in various industrial and scientific domains. However, content creation still remains a costly task as extensive manual work is often required. As such, one of the core research topics in co ...

EPFL2016

Optimal Sensor Architecture Selection for Health Management of Complex Systems

Martin Vetterli, Juri Ranieri

With technological progress, humans tend to create engineering systems with constantly increasing complexity and higher operational requirements. Many complex systems require the use of a Health Management (HM) solution to ensure safety and enable lifecycl ...

Ieee2016

Combining Content with User Preferences for Non-Fiction Multimedia Recommendation: A Study on TED Lectures

Andrei Popescu-Belis, Nikolaos Pappas

This paper introduces a new dataset and compares several methods for the recommendation of non-fiction audio visual material, namely lectures from the TED website. The TED dataset contains 1,149 talks and 69,023 profiles of users, who have made more than 1 ...

Springer2015

A Scalable Approach to Harvest Modern Weblogs

Olivier Eric Paul Blanvillain

Blogs are one of the most prominent means of communication on the web. Their content, interconnections and influence constitute a unique socio-technical artefact of our times which needs to be preserved. The BlogForever project has established best practic ...

World Scientific Publ Co Pte Ltd2015

Large-scale extraction of brain connectivity from the neuroscientific literature

Jean-Cédric Chappelier, Sean Lewis Hill, Renaud Luc Richardet

In neuroscience, as in many other scientific domains, the primary form of knowledge dissemination is through published articles. One challenge for modern neuroinformatics is finding methods to make the knowledge from the tremendous backlog of publications ...

Oxford University Press2015

Comparative Study of Trust Modeling For Automatic Landmark Tagging

Touradj Ebrahimi, Péter Vajda, Ivan Ivanov

Many images uploaded to social networks are related to travel, since people consider traveling to be an important event in their life. However, a signiﬁcant amount of travel images on the Internet lack proper geographical annotations or tags. In many cases ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Affect Recognition Based on Physiological Changes During the Watching of Music Video

Touradj Ebrahimi, Jean-Marc Vesin, Jong Seok Lee, Ashkan Yazdani

Assessing emotional states of users evoked during their multimedia consumption has received a great deal of attention with recent advances in multimedia content distribution technologies and increasing interest in personalized content delivery. Physiologic ...

2012

Agile Views in a Dynamic Data Management System

Christoph Koch

This paper calls for a new breed of lightweight systems - dynamic data management systems (DDMS). In a nutshell, a DDMS manages large dynamic data structures with agile, frequently fresh views, and provides a facility for monitoring these views and trigger ...

2011