For content based image retrieval using shape descriptors, most approaches so far extract shape information from a segmentation of the image. Shape features derived based on a specific segmentation are not suitable for images containing complex structures. Further, static segmentation based approaches are useful only for a small set of queries. In this paper we discuss the limitations of such b...

Dissimilarity measurement plays a crucial role in contentbased image retrieval, where data objects and queries are represented as vectors in high-dimensional content feature spaces. Given the large number of dissimilarity measures that exist in many fields, a crucial research question arises: Is there a dependency, if yes, what is the dependency, of a dissimilarity measure’s retrieval performan...

Modeling the characteristics of specific images and individual users is a critical issue in content-based image retrieval but insufficiently addressed by the current retrieval approaches. In this paper, we propose a novel approach to dataadaptive and user-adaptive image retrieval based on the idea of peer indexing—describing an image through semantically relevant peer images. Specifically, we a...

introduction: despite the importance of curriculum analysis for internal refinement of a programme, the approach for such a step in under-described in the literature. this article describes the analysis of the medical curriculum at the faculty of medicine, university of gezira (fmug). this analysis is crucial in the era of innovative medical education since introducing new curricula and curricu...