Research Axes | LIVIA
CORE EXPERTISE
Research at LIVIA
LIVIA's main accomplishments focus on training highly skilled personnel and disseminating scientific findings.
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Large-scale processing, analysis and interpretation of images and videos
LIVIA studies the perception and modelling of dynamic environments, including 2D and 3D scenes and speech, with the help of artificial intelligence techniques.
// Scientific orientation
- Perception and modelling of dynamic environments
- Foundational principles of image and video processing, analysis, and interpretation
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Open collaboration
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Research and development
LIVIA's research and development activities are oriented around six main conceptual axes and their fields of application.
// Six conceptual axes
- Machine learning
- Computer vision
- Pattern recognition
- Adaptive and intelligent systems
- Information fusion
- Optimization of complex systems
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Perception and modelling of dynamic environments
LIVIA's techniques solve concrete and complex problems, including detecting tumors or patient depression levels where massive datasets have limited annotations.
// Fields of application
- Analysis of medical, satellite, aerial and other images
- Biometrics: recognition from signature, face, voice, etc.
- Automatic processing of handwritten documents
- Affective computing for health monitoring
- Safety and surveillance
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