Call for Papers for Special Sessions

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DASIP 2015

Conference on Design & Architectures for Signal & Image Processing

September 23-25, 2015
Cracow, Poland


The Conference on Design & Architectures for Signal & Image Processing - DASIP features the following Special Sessions:
 
  
Multi and Many Core for Computer Vision

Co-Chairs:
Lionel Lacassagne, University Paris Sud, France
Martin Danek, daiteq, Czech Republic
Walter Stechele, Technical University of Munich, Germany
  
Abstract: Multi and many core processors are gaining interest for computer vision applications, including surveillance, robotics, and driver assistance. The focus of this special session will be on optimization techniques for multi and many core architectures, including but not limited to SIMD GPP, GPU, Xeon-Phi, Tilera, MPPA, P2012, STHorm, and academic initiative like TCPA, TSAR, PULP, .... Optimization might include language and middleware for such architectures, e.g. OpenVX, OpenCL. Benchmarking and a fair comparison with respect to power, performance, and robustness are welcome.

       

Processing Architectures for Biomedical Signal and Image Processing

Co-Chairs:
Piotr Augustyniak, AGH University of Science and Techology, Krakow
Pierre Langlois, Polytechnique Montréal, Canada
   

Abstract: While implantable devices are not yet the norm, it is easy to envision an not-so-far future where they will be ubiquitous. There are presently a variety of wearable sensors that measure daily activity and sleep patterns, and that collect other types of biomedical signals. We are more accustomed to larger, more elaborate sensors that allow physicians to measure and observe various bodily functions and state. Biomedical Signal and Image Processing presents a variety of challenges in terms of the dimensionality of the data being processed, nature of the processing involved, the expected data throughput and the peculiar requirements for embedded applications. Biomedical signals can range from two-dimensional electrocardiograms, grey-level or color two-dimensional images produced by variety of sensors including x-rays and fundus cameras, three-dimensional volumetric data from an MRI, multi-channel 2D EEG data, or multi-dimensional data from an array of multimodal sensors. The processing involved normally entails the detection of patterns of interest such as lesions in tissue and abnormal transients or rhythms in ECG or EEG data. The required data throughput can be very large in the case of multi-channel or multi-dimensional time-varying signals. While General Purpose Processor and Graphical Processing Unit implementations abound, custom architectures can be necessary to accelerate processing in order for time-critical information to be available to a clinician. For embedded biomedical applications, energy efficiency severely constrains custom processor design. For implantable devices, these constraints are even more stringent.

In this special session, we invite original contributions and review articles on the topic of design and implementation of Architectures for Biomedical and Image Processing. Fields of interest for this session include, but are not limited to:

  • Application-specific Instruction-Set Processors design for biomedical applications
  • Algorithm-to-architecture mapping
  • Data path design for complex data processing iterative algorithms
  • High throughput data access between processor and memory
  • Real-time processing of volumetric data
  • Energy-efficient signal and image processing for implantable applications
  • In-vivo case studies

 

Signal and Data Processing in Industrial Tomography

Chairs:
Laurent Babout, Institute of Applied Computer Science, Lodz University of Technology, Poland
Wuqiang Yang, School of Electrical and Electronic Engineering, University of Manchester, UK
    
Abstract
: Internal inspection of components and processes using industrial tomography is getting more popular in many industrial applications, such as chemical, process, civil or automotive industry. This includes technologies such as X-ray tomography, near-infrared tomography, electrical capacitance or resistance tomography. Despite giving unique volumetric (or cross-sectional) information, the systems are still confronted to challenges such as the spatial resolution limitation, acquisition/measurement protocols, online image reconstruction process, automatic data processing and interpretation, data storage and management.
The aim of this special session is to highlight advances in signal and data processing addressing, but not limited to, the research areas mentioned above.

       
   
    
Paper submission deadline extended: May 25 (abstracts) & June 1 (papers)
Submission page (up to 8 pages, double-column IEEE format):
https://easychair.org/conferences/?conf=dasip2015

More information about paper submission can be found here.


Contacts:
dasip [at] ecsi [dot] org
www.ecsi.org/dasip

 

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