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Segmentation and Recognition

Main activities


Recognizing and classifying all the entities appearing in an image is a fundamental goal of computer vision, and constitutes a key element in the semantic understanding of images, videos and other multi-media resources. This macro-activity is concerned with the development of deep-learning theory and practice to understand the image content. More images depicting the same objects can be used for a 3D reconstruction of the scene.



Object recognition systems provide a smart tool for the automatic indexing of an image by its visual content, allowing a high-level (semantic) description of the visual data.






VIKEF - Virtual Information and Knowledge Environment Framework is to advanced semantic-enabled support for Information, Content and Knowledge (ICK) production, acquisition, processing, annotation, sharing and use by empowering information and knowledge environments for scientific and business communities.



Tools and facilities

TeV has a long history of research in document image segmentation and on camera-based text detection. This page is a survey page that provides (some) links to academic research projects around the world, related to Document Image Understanding and Text Extraction from generic images, arranged by topics.