Content Based Image Retrieval for Dynamic Time Series Data

Content based image retrieval (CBIR) systems in the field of medical image analysis are an active field of research. They allow the user to compare a given case with others in order to assist in the diagnostic process. In this work a CBIR system is described working on datasets which are both time- and space-dependent. Different possible feature sets are investigated, in order to explore how these datasets are optimally represented in the corresponding database.