1 research outputs found
User Satisfaction-Driven Bandwidth Allocation for Image Transmission in a Crowded Environment
A major portion of postings on social networking sites constitute high
quality digital images and videos. These images and videos require a fairly
large amount of bandwidth during transmission. Accordingly, high quality image
and video postings become a challenge for the network service provider,
especially in a crowded environment where bandwidth is in high demand. In this
paper we present a user satisfaction driven bandwidth allocation scheme for
image transmission in such environments. In an image, there are always objects
that stand out more than others. The reason behind some set of objects being
more important in a scene is based on a number of visual, as well as, cognitive
factors. Being motivated by the fact that user satisfaction is more dependent
on the quality of these salient objects in an image than non-salient ones, we
propose a quantifiable metric for measuring user-satisfiability (based on image
quality and delay of transmission). The bandwidth allocation technique proposed
thereafter, ensures that this user-satisfiability is maximized. Unlike the
existing approaches that utilize some fixed set of non-linear functions for
framing the user-satisfiability index, our metric is modelled over customer
survey data, where the unknown parameters are trained with machine learning
methods.Comment: 7 Page