No-reference image and video quality estimation: Applications and human-motivated design
SS Hemami, AR Reibman - Signal processing: Image communication, 2010 - Elsevier
This paper reviews the basic background knowledge necessary to design effective no-
reference (NR) quality estimators (QEs) for images and video. We describe a three-stage …
reference (NR) quality estimators (QEs) for images and video. We describe a three-stage …
A review of predictive quality of experience management in video streaming services
MT Vega, C Perra, F De Turck… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Satisfying the requirements of devices and users of online video streaming services is a
challenging task. It requires not only managing the network quality of service but also to …
challenging task. It requires not only managing the network quality of service but also to …
Perceptual visual quality metrics: A survey
Visual quality evaluation has numerous uses in practice, and also plays a central role in
shaping many visual processing algorithms and systems, as well as their implementation …
shaping many visual processing algorithms and systems, as well as their implementation …
QoE prediction model and its application in video quality adaptation over UMTS networks
The primary aim of this paper is to present a new content-based, non-intrusive quality of
experience (QoE) prediction model for low bitrate and resolution (QCIF) H. 264 encoded …
experience (QoE) prediction model for low bitrate and resolution (QCIF) H. 264 encoded …
Quality of experience estimation for adaptive HTTP/TCP video streaming using H. 264/AVC
KD Singh, Y Hadjadj-Aoul… - 2012 IEEE Consumer …, 2012 - ieeexplore.ieee.org
Video services are being adopted widely in both mobile and fixed networks. For their
successful deployment, the content providers are increasingly becoming interested in …
successful deployment, the content providers are increasingly becoming interested in …
Design and implementation of a cloud enabled random neural network-based decentralized smart controller with intelligent sensor nodes for HVAC
Building energy management systems (BEMSs) monitor and control the heating ventilation
and air conditioning (HVAC) of buildings in addition to many other building systems and …
and air conditioning (HVAC) of buildings in addition to many other building systems and …
Voice quality prediction models and their application in VoIP networks
L Sun, EC Ifeachor - IEEE transactions on multimedia, 2006 - ieeexplore.ieee.org
The primary aim of this paper is to present new models for objective, nonintrusive, prediction
of voice quality for IP networks and to illustrate their application to voice quality monitoring …
of voice quality for IP networks and to illustrate their application to voice quality monitoring …
Intelligent intrusion detection in low-power IoTs
Security and privacy of data are one of the prime concerns in today's Internet of Things (IoT).
Conventional security techniques like signature-based detection of malware and regular …
Conventional security techniques like signature-based detection of malware and regular …
Multi-loss regularized deep neural network
A proper strategy to alleviate overfitting is critical to a deep neural network (DNN). In this
paper, we introduce the cross-loss-function regularization for boosting the generalization …
paper, we introduce the cross-loss-function regularization for boosting the generalization …
Modeling packet-loss visibility in MPEG-2 video
S Kanumuri, PC Cosman, AR Reibman… - IEEE transactions on …, 2006 - ieeexplore.ieee.org
We consider the problem of predicting packet loss visibility in MPEG-2 video. We use two
modeling approaches: CART and GLM. The former classifies each packet loss as visible or …
modeling approaches: CART and GLM. The former classifies each packet loss as visible or …