This paper describes an approach to retrieve images containing specific objects, scenes or buildings. The image content is captured by a set of local features. More precisely, we ...
We introduce GaZIR, a gaze-based interface for browsing and searching for images. The system computes on-line predictions of relevance of images based on implicit feedback, and wh...
Abstract: This paper concerns the best approach to the capture of local texture features for use in content-based image retrieval (CBIR) applications. From our previous work, two a...
The National Library of Medicine has been developing CervigramFinder, a Web-accessible prototype content-based image retrieval (CBIR) system for cervical cancer research, to retri...
George R. Thoma, Jose Jeronimo, L. Rodney Long, Sa...
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...