Signal & Image Technologies

The track “Signal & Image Technologies” (SIT) focuses on recent developments in digital signal processing and pays particular attention to evolutions vision, image analysis, pattern analysis and recognition, coding and authentication, and retrieval techniques.

The Topics of interest include but not limited to:

Image Processing and Analysis

  • Image filtering, Restoration, Enhancement
  • Image segmentation
  • Image acquisition, manipulation and compression
  • Image synthesis
  • Image databases
  • Content based image retrieval
  • Pattern analysis and recognition
  • Shape matching
  • Learning and classification
  • Colour Imaging
  • Multispectral processing
  • Stereoscopic and 3D processing
  • 3D Object Extraction
  • Surface reconstruction
  • Geometric algorithms
  • Computational geometry

Signal processing

  • Theory and Methods
  • Gibbs models and MRFS
  • Digital Filters and Filter Banks design
  • Wavelets and Multirate Signal Processing
  • Spectral analysis
  • Timefrequency signal analysis
  • Nonlinear and Multidimensional Signal Processing
  • Variational formulations
  • Pdes
  • Radar, sonar
  • Antennas
  • Mobile Signal Processing
  • Fast algorithms
  • Real time signal processing
  • Signal noise control

Applications

  • Archiving
  • Digital video broadcasting
  • Biomedical Imaging
  • Nuclear XRAY, and magnetic resonance imaging
  • Tomographic imaging
  • Remote Sensing
  • Document Image Processing and Analysis
  • Astronomy
  • Geosciences and environment
  • Artificial intelligence applications
  • Neural networks applications
  • Fuzzy logic applications
  • Biometrics and Applications

Image/Video Coding and Authentication

  • Coding standards
  • Image and video over networks
  • Error resilience
  • Video processing and streaming
  • Motion detection and estimation
  • Object tracking
  • Image sequence processing and analysis
  • Multimedia processing
  • Video streaming
  • Watermark Embedding and Detection
  • Reliable Watermark Recovery
  • Stochastic Aspects of Data Hiding

Track Chairs

Bruno Apolloni, Università degli Studi di Milano, Italy
Albert Dipandà, University of Bourgogne, France