Visual Attention Prediction (VAP) is a significant and imperative issue in the field of computer vision. Most existing VAP methods are based on deep learning. However, they do not fully take advantage low-level contrast features while generating visual attention map. In this paper, novel method proposed to generate map via bio-inspired representation The learning combines both high-level semant...

Since the Bible is regarded as the most important source of Christian iconography and iconography in return is the visual interpretation of the Bible, the relationship between Christian iconography and biblical interpretation is noteworthy. In some cases this relationship is such that the visual representation is actively involved in the interpretation of the biblical text and is...