HANDiCAMS - Heterogeneous Ad-hoc Networks for Distributed, Cooperative, and Adaptive Multimedia Signal Processing
From 01-10-2013 to 30-09-2016
Website: http://cordis.europa.eu/projects/rcn/108665_en.html
Description
The project is aimed at developing a new ICT paradigm, which considers multiple heterogeneous devices that cooperate in multiple signalprocessing tasks. This is radically different from current ICT paradigms, in which stand-alone devices merely focus on individual tasks ormultiple devices perform one joint task, e.g., in a wireless sensor network (WSN). Examples of the heterogeneous devices considered aretablets, smartphones, handheld cameras, active headsets and hearing aids. Each device is equipped with one or several sensors, e.g.,microphones and cameras, as well as with computing and wireless communication facilities, and has its own signal processing task, e.g., alocal signal enhancement task. The aim is to achieve superior performance in these tasks through cooperation amongst the devices, whichthen effectively act as nodes in a WSN type set-up, where each node contributes to the other nodes’ tasks.The main objective is to develop distributed, cooperative and adaptive signal processing algorithms for the acquisition, coding, processing,and in-network fusion of multimedia signals, in particular for the enhancement of audio and video signals. The algorithms are operated in aheterogeneous, ad-hoc and dynamic network, where each node has its own signal processing task as well as its own specific mode ofoperation. Furthermore, the algorithms should be scalable
Team
- Vetterli, Co-promoter (External)
- Abdelhak Zoubir, Co-promoter (External)
- Sergios Theodoridis, Co-promoter (External)
- Marc Moonen, Coordinator
- Alexander Bertrand, Team member
Financing
Funding: EU Funding - European Funding
Program/Grant Type: FET Open - FET Open - Novel Ideas for Radically New Technologies
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.