Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
This work aims at supporting the retrieval and indexing of medical images by extracting and organizing intrinsic features of them, more specifically texture attributes from images...
Joaquim Cezar Felipe, Agma J. M. Traina, Caetano T...
Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedde...
This report describes the approach used in our participation of ImageCLEF. Our focus is on image retrieval using text, i.e. Cross-Media IR. To do this, we first determine the str...
Carmen Alvarez, Ahmed Id Oumohmed, Max Mignotte, J...
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...