First announcement
Early vision and image analysis
Visual processing starts from measurements (feature extraction and representation) on which image operators are applied to extract shape and motion primitives, texture and color information. In this phase the active vision paradigm plays a relevant role in image segmentation and grouping as well in image and video sequence analysis.
Pattern recognition and image inference
Higher level of visual processing regards statistical, structural and syntactic pattern recognition. Neural networks are considered useful tools for learning and classification. Genetic algorithms are becoming of great interest in the search of global solutions. Model acquisition, digital geometry and shape reconstruction techniques are important for 2D and 3D object recognition. Spatial reasoning needs new spatial data structure and flexible inference rules.
Visual processing for communication
Multimedia databases, digital and video libraries need efficient image and video methods for compression and coding. Image databases and video processing require suitable indexing and retrieval solutions. Visual languages allows the natural and optimized formulation of visual computing. Both visual communication and human-computer interaction are based on advanced visual interfaces.
Wide spectra of image analysis applications are welcome (astronomy, biology and biomedicine, cultural heritage, OCR and document analysis, mobile robots and visual navigation, remote sensing and GIS, surveillance, smart sensors and dedicated architectures, visual inspection and quality control,...). More emphasis will be done to real cases and working prototypes.