In this study, a discriminative detector for object context is designed and tested. The context-feature is simple to implement, feed-forward, and effective across multiple object t...
Background: Complex biological database systems have become key computational tools used daily by scientists and researchers. Many of these systems must be capable of executing on...
Marko Srdanovic, Ulf Schenk, Michael Schwieger, Fa...
We study solutions to the problem of evaluating image similarity in the context of content-based image retrieval (CBIR). Retrieval is formulated as a classification problem, wher...
A purely bottom-up model of visual attention is proposed and compared to five state-of-the-art models. The role of the low-level visual features is examined in two contexts. Two da...
Complex designs can only be understood, if the underlying information is provided in a concise way. In this context visualization is becoming an essential part of system design, u...
Christian Genz, Rolf Drechsler, Gerhard Angst, Lot...