Modeling user preferences in content-based image retrieval: A novel attempt to bridge the semantic gap

A concept-based model for image retrieval systems

“…Although low-level features can describe the content of simple images, they cannot properly describe complex images, containing high-level concepts. This is the main challenge of CBIR systems and is called ''semantic gap'' in the literatures [3][4][5][6][7]. In addition to this challenge, CBIR systems usually ignore the relations and context among the image objects in the retrieval process.…”