Category: IEEE 2017

A No-Reference Texture Regularity Metric Based on Visual Saliency

A No-Reference Texture Regularity Metric Based on Visual Saliency ABSTRACT: This paper presents a no-reference perceptual metric that quantifies the degree of perceived regularity in textures. The metric is based on the similarity of visual attention (VA) of the textural primitives and the periodic spatial distribution of foveated fixation regions throughout the image. A ground-truth […]


Service Rating Prediction by Exploring Social Mobile User’s Geographical Locations

Social media interaction and analytics for enhanced educational experiences Abstract In this article, the authors present an innovative system based on social media and high-quality multimedia content delivery designed to enhance the educational experiences of students in cultural centers and museums. The system brings together students who are viewing an educational movie and a panel of experts who might be geographically dispersed and engages them […]