Abstract In this paper we propose a reduced-reference quality assessment algorithm which computes an approximation of the Structural SIMilarity (SSIM) metrics exploiting coding too...
Marco Tagliasacchi, Giuseppe Valenzise, Matteo Nac...
ended abstract looks forward at which shared concepts and approaches are shaping future research in the field of location privacy, as well as reflecting on the broader achievement...
In this paper, we apply the auction-based theories in economics to camera networks. We develop a set of auction protocols to do camera active control (pan/tilt/zoom) intelligently...
Performance models for Network-on-Chip (NoC) are essential for design, optimization and Quality of Service (QoS) assurance. Classical queueing theory has been often used to provid...
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...