Call for Contributions for Special Sessions

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DASIP 2013

Conference on Design & Architectures for Signal & Image Processing

October 8-10, 2013
Cagliari, Italy


Download the Call for Papers in PDF

 

DASIP 2013 will feature five Special Sessions with the purpose of introducing the DASIP community to relevant hot topics that were not covered by previous editions of the conference.

Modern Localization Techniques
Co-Chairs:
Jari Nurmi, Tampere University of Technology, FI
Simona Lohan, Tampere University of Technology, FI
Francescantonio Della Rosa, Tampere University of Technology, FI

Hardware/Software Acceleration of Vision and Image Processing Applications for Embedded Targets
Co-Chairs:
Andrea Marongiu, University of Bologna, IT
Luca Benini, University of Bologna, IT

Software Defined Radio – Systems and Applications

Co-Chairs:
Olivier Romain, University of Cergy‐Pontoise, FR
Julien Lekernec, University of Nottimgham, Ningbo, CN
Peter Athanas, Virginia Tech, US

Advanced Image Processing for Space Applications

Co-Chairs:
Walter Allasia, Eurix, IT
Paolo Prinetto, Politecnico di Torino, IT

Visual Scene Analysis in 2D and 3D
Co-Chairs:
Marek Gorgon, AGH University of Science and Technology, PL
Walter Stechele, Technical University of Munich, DE
Lionel Lacassagne, University Paris Sud, FR
 

All submitted papers should be done online, following the paper submission guidelines. During paper submission, please take care to select the special session corresponding to your choice.

IMPORTANT DEADLINES

Paper submission: April 28, 2013 May 12, 2013
May 26, 2013 (extended)
Notification of acceptance: July 3, 2013
Demo Night paper submission: June 30, 2013
July 14, 2013 (extended)
Camera ready papers: September 13

 

SUBMISSION REQUIREMENTS
Authors should submit their full papers (up to 8 pages, double-column IEEE format) in PDF through the web based submission system. Proceedings of DASIP 2013
will be submitted for inclusion into IEEE Xplore. Submitted papers should be anonymous, are required to describe original unpublished work and must not be under consideration for publication elsewhere. After the conference, papers and presentations will be published on the ECSI website together with the keynote presentations (subject to confidentiality issues). Authors of the best papers will be invited to submit an extended version of their work to the Special Issue 'Design and Architectures for Signal and Image Processing', within the EURASIP Journal on Advances in Signal Processing, published by SPRINGER.

Full submission requirements, templates and submission instructions can be found at: http://www.ecsi.org/dasip2013/submissions


Modern Localization Techniques
Co-Chairs:
Jari Nurmi, Tampere University of Technology, FI
Simona Lohan, Tampere University of Technology, FI
Francescantonio Della Rosa, Tampere University of Technology, FI
Abstract
There is a high demand for providing robust and accurate localization solutions, which will be available continuously, regardless of the specific environment, i.e., outdoors and indoors, and which would overcome and complement the drawbacks of the current stand-alone single-frequency satellite-based navigation systems. We invite investigators to contribute original research and review articles addressing innovative signal processing methods and their implementations, able to the increase the location accuracy, availability and reliability in mobile devices as well as decreasing power consumption. Potential topics include, but are not limited to:

  • Heterogeneous localization methods
  • Signals-of-Opportunity
  • Cooperative positioning
  • 3D indoor localization and navigation
  • Cognitive basics, such as pattern recognition/bio-inspired schemes for location
  • Optimized power allocation and cognitive entropy for positioning
  • Hybridization approaches
  • WPAN based localization techniques (UWB, high rate Bluetooth, etc.)
  • Sensor based localization

 

Hardware/Software Acceleration of Vision and Image Processing Applications for Embedded Targets
Co-Chairs:
Andrea Marongiu, University of Bologna, IT
Luca Benini, University of Bologna, IT
Abstract
Recent advances in computer technology have led to an explosion in the use of digital images in a variety of real-life applications. Images and vision constitute one of the most important information carriers for human beings, motivating an ever-increasing demand for systems capable of executing sophisticated image processing- and computer vision-based applications. High-end embedded systems are particularly well suited as a target platform, due to their pervasiveness in everybody’s everyday life.

However, such applications impose computation-intensive tasks: high-level algorithmic kernels, such as segmentation or recognition, require complex iterative or recursive mathematical routines that are quite demanding in terms of computational power. In the embedded domain the complexity of processing nodes is limited by several constraints like power consumption, size and cost, which calls for smart hardware and/or software solutions to improve application execution, in terms of energy efficiency and performance.

The goal of this special session is to bring together researchers and practitioners working in the area of embedded vision/image processing. We are soliciting original contributions, which address a wide range of topics related (but not limited) to:

  • Parallelization of vision/image processing applications for embedded multi- and many-cores
  • Application-specific acceleration hardware for embedded vision/image processing
  • Architecture support for optimized embedded vision/image processing
  • HW/SW co-design of embedded systems for vision/image processing
  • Detailed analysis of vision/image processing applications and workloads
  • Application acceleration (HW or SW) case studies

 

Software Defined Radio – Systems and Applications
Co-Chairs:
Olivier Romain, University of Cergy‐Pontoise, FR
Julien Lekernec, University of Nottimgham, Ningbo, CN
Peter Athanas, Virginia Tech, US
Abstract
Software defined radio represents an exciting research area worldwide and could become one of the key technology of the 21st century. In emerging radio systems, improved ADC sampling rates and DSP clock speeds are pushing digital signal processors progressively closer to the antenna, allowing tasks previously performed in fixed analog hardware or a workstation to be carried out on programmable or reconfigurable processors – the so- called Software Defined Radio (SDR) approach. While much of the initial interest in SDR was focused on personal communications systems, there has been growing interest in extending the advantages of SDR in many applications domains such as broadcasting (radio and TV), radar systems, green communication, vehicular communication, dynamic spectrum sensing, dirty RF, etc. Moreover, embedding intelligence into SDR systems opens up the space to design efficient radio communications to suit a specific need and to develop systems that can adapt based on local resources and electromagnetic environment to perform its task.

With continued advances in microelectronics, analogue converter and processing architecture, these SDR systems are becoming a reality. Yet, there are still many open questions remaining and scientific research pushes this field forward. The special session will discuss recent advances in this topic, including high-data rate parallel receiver, smart SDR, hybrid filter bank design, dirty RF, software defined radar and green communication.

Advanced Image Processing for Space Applications
Co-Chairs:
Walter Allasia, Eurix, IT
Paolo Prinetto, Politecnico di Torino, IT
Abstract
Mars is a hard place to reach. While there have been many notable success stories in getting probes to the Red Planet, the historical record is full of bad news. Counting all Soviet/Russian, U.S., European, and Japanese attempts, more than half of Mars missions have failed, either because of collisions with space debris in orbit around Earth during the trip to Mars. The success rate for actually landing on the Martian surface is even worse, roughly 30 percent, due to a landing in a huge crater or on big stones. In the last years, all space agencies have increased their research efforts in order to enhance the success rate of Mars missions. In particular, the two hottest research topics are: the active debris removal and the guided landing on Mars. The former aims at finding new methods to remove space debris exploiting unmanned spacecrafts. These must be able to autonomously: detect a debris, analyze it, in order to extract its characteristics in terms of weight, speed and dimension, and, eventually, rendez-vous with it. In order to perform these tasks, the spacecraft must have high vision capabilities. In other words, it must be able to take pictures and process them with very complex image processing algorithms in order to detect, track and analyze the debris.

The latter aims at increasing the landing point precision (i.e., landing ellipse) on Mars. Future space-missions will increasingly adopt Video Based Navigation systems to assist the entry, descent and landing (EDL) phase of space modules (e.g., spacecrafts), enhancing the precision of automatic EDL navigation systems. For instance, in recent space exploration missions, e.g., Spirit, Opportunity, and Curiosity, the descending trajectory and the landing point were pre-computed and fixed, guaranteeing a maximum landing point precision of 20 kilometers. A very challenging problem is to design an autonomous-guided EDL system able to reduce the landing ellipse, guaranteeing to avoid the landing in dangerous area of Mars surface (e.g., huge craters or big stones) that could lead to the mission failure.

Moreover, in both applications, all the algorithms must guarantee real-time performances. Since a software implementation of these computational intensive tasks cannot reach the required performances, these algorithms must be accelerated via hardware. This aspect introduces new issues in terms of reliability of the system.

The proposed special session highlights the new image processing algorithms and the relative implementations that will be adopted in the future Mars exploration missions.

The session will be composed by three main talks, one from the academic experience (i.e., Politecnico di Torino), and two from the industry one (i.e., Eurix S.r.l. and ThalesAlenia Space S.p.a.).
 

Visual Scene Analysis in 2D and 3D
Co-Chairs:
Marek Gorgon, AGH University of Science and Technology, PL
Walter Stechele, Technical University of Munich, DE
Lionel Lacassagne, University Paris Sud, FR
Abstract
Due to the evolution of digital cameras, visual scene analysis is gaining interest in many applications. In this special session, the focus will be on real-time techniques for visual scene analysis, including surveillance, robotics, and driver assistance, for both 2D and 3D algorithms, on various levels of abstraction, from image data to higher level feature analysis. Hardware/software optimization techniques for many-core processors, FPGA, GPU, DSP will be included, with a focus on co-optimization for both hardware and software.

GENERAL CO-CHAIRS:

Paolo Meloni, University of Cagliari
Christophe Jégo, University of Bordeaux

PROGRAM CO-CHAIRS:
Eduardo de la Torre, Universidad Politécnica de Madrid
Sebastien Pillement, Polytech University of Nantes

STEERING COMMITTEE
Tapani Ahonen, Tampere University of Technology (TUT), FI
Daniel Chillet, IRISA, FR
Eduardo De la Torre, Universidad Politécnica de Madrid, ES
Guy Gogniat, Université de Bretagne Sud, FR
Bertrand Granado, Université Pierre et Marie Curie - Paris, FR
Michael Hübner, Ruhr-Universität Bochum, DE
Christophe Jego, Institut Polytechnique de Bordeaux, FR
Stéphane Mancini, TIMA laboratory, FR
Paolo Meloni, University of Cagliari, IT
Adam Morawiec, ECSI, FR
Jean François Nezan, INSA Rennes, IETR laboratory, FR
Jari Nurmi, Tampere University of Technology (TUT), FI
Sebastien Pillement, University of Rennes 1 - IRISA/INRIA, FR

PROGRAM COMMITTEE
Iuliana Bacivarov, ETH Zurich, CH
Shailendra Baraniya, NMIMS University, IN
Mladen Berekovic, TU Braunschweig, DE
Christophe Bobda, University of Arkansas, US
Ahmed Bouridane, Northumbria University Newcastle, GB
Jani Boutellier, University of Oulu, FI
Joan Cabestany, Universitat Politècnica Catalunya UPC, ES
Gabriel Caffarena, University CEU San Pablo, ES
João Cardoso, University of Porto/FEUP, PT
Stéphane Chevobbe, CEA LIST, FR
Christopher Claus, Robert Bosch GmbH, Leonberg, DE
Milos Drutarovsky, Technical University of Kosice, SK
Ahmet Erdogan, University of Edinburgh, GB
Alberto Garcia-Ortiz, Univerisity of Bremen / ITEM, DE
Patrick Garda, University Pierre and Marie Curie, FR
Diana Göhringer, Karlsruhe Institute of Technology, DE
Marek Gorgon, AGH University of Science and Technology, PL
Ilker Hamzaoglu, Sabanci Universitesi, TR
Frank Hannig, University of Erlangen-Nuremberg, DE
Dominique Houzet, GIPSA-Lab, FR
Gareth Howells, University of Kent, GB
Michael Janneck, Lund University, SE
Eduardo Juarez, Technical University of Madrid, ES
Yannick Le Moullec, Aalborg University, DK
Jean-Didier Legat, Université catholique de Louvain, BE
Shujun Li, University of Konstanz, DE
Johan Lilius, Abo University, FI
Juan Carlos López, University of Castilla La Mancha, ES
Sebastian López, University of Las Palmas de Gran Canaria, ES
Marco Mattavelli, EPFL, CH
Klaus McDonald-Maier, University of Essex, GB
Dragomir Milojevic, Université Libre de Bruxelles, BE
Smail Niar, University of Valenciennes/LAMIH, FR
Tokunbo Ogunfunmi, Santa Clara University, US
Vassilis Paliouras, University of Patras, GR
Francesca Palumbo, University of Cagliari/DIEE, IT
Mickael Raulet, IETR/INSA Rennes, FR
Frederic Robert, Universite libre de Bruxelles, BE
Pablo Sánchez, University of Cantabria, ES
Simone Secchi, University of Cagliari, IT
Gilles  Sicard, TIMA Laboratory, Joseph Fourier University of Grenoble, FR
Yves Sorel, INRIA Rocquencourt, FR
Dimitrios Soudris, National Technical University of Athens, GR
Walter Stechele, TUM/Institute for Integrated Systems, DE
Jarmo Takala, Tampere University of Technology, FI
Arnaud Tisserand, IRISA/CNRS - University of Rennes, FR
François Verdier, LEAT/University of Nice-Sophia Antipolis - UMR CNRS 6071, FR
Nikolaos Voros, Technological Educational Institute of Mesolonghi, GR
Serge Weber, University of Nancy, FR


DASIP 2013 is organized with the technical co-sponsorship of
the IEEE Signal Processing Society

    


 

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