SIGNAL IMAGE & VISION TECHNOLOGIES (SIVT)

The track "Signal Image & Vision Technologies" (SIVT) focuses on recent developments in digital signal processing and pays particular attention to evolutions in signal processing, image analysis, vision, coding and authentication, and retrieval techniques.

The Topics of interest include but not limited to:

Image Acquisition, Vision
• Image Acquisition Devices and Sensors
• Device Calibration, Characterization and Modeling
• Image and Video Coding and Compression
• Multimodal and Multi-sensor Models

Image Processing and Analysis
• Image filtering, Restoration, Enhancement
• Image segmentation
• Image synthesis
• Pattern analysis and recognition
• Shape matching
• Learning and classification
• Colour Imaging
• Multispectral processing
• Stereoscopic and 3D processing
• 3D Object Extraction
• Surface reconstruction
• Computational geometry
• Machine Learning Technologies for Vision
• Content-based Indexing, Search, and Retrieval
• Object and Face Recognition
• Object detection and Localization
• 3D Object Extraction
• Optical Flow and Motion Analysis
• Tracking and Visual Navigation

Signal processing
• Theory and Methods
• Digital Filters and Filter Banks design
• Wavelets and Multirate Signal Processing
• Spectral analysis
• Fast algorithms
• Real time signal processing
• Signal noise control
• Mobile Signal Processing
• Nonlinear and Multidimensional Signal Processing

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
• Video surveillance and security
• Crowd analysis
• Biometrics and Applications

Image/Video Coding and Authentication
• Coding standards
• Image and video over networks
• Error resilience
• Video processing and streaming
• Image sequence processing and analysis
• Video streaming
• Watermark Embedding and Detection
• Reliable Watermark Recovery

Track Chairs
Albert Dipanda, University of Burgundy, France
Neeta Nain, Malaviya National Inst. of Tech. Jaipur, India