Concept-Based Image Systems

This lecture explores different types of image systems, including concept-based, named entity-based, and perspective connections-based systems. It delves into the centrality of document-images, coherent subsets in corpora, and the analysis of graphics. The lecture discusses the nature of concept-based image systems, their hierarchical structure, and their role in artificial vision. It also covers named entity-based systems, their unique identification of entities, and integration with international databases like Wikidata. Moreover, the lecture explains perspective connections-based systems, focusing on establishing visual relationships between images from different perspectives. The lecture concludes with a discussion on morphological relationships in image systems, emphasizing the formalization of morphological patterns and the challenges in detecting invariance across diverse materials and textures.