Assessing the quality of experience in wireless networks for multimedia applications: A comprehensive analysis utilizing deep learning-based techniques [PDF]
In the context of the burgeoning progression of wireless network technology and the corresponding escalation in the demand for mobile Internet-based multimedia transmission services, the task of preserving and augmenting user satisfaction has emerged as ...
Xiaoliang Zhang, Li Li
doaj +2 more sources
Large-Scale Research On Quality Of Experience (Qoe) Algorithms
The large variety of video data sources means variability not only in terms ofincluded content, but also in terms of quality. Therefore, quality assessment pro-vides an additional dimension.
Mikolaj Leszczuk +5 more
doaj +3 more sources
Listening Effort Informed Quality of Experience Evaluation
Perceived quality of experience for speech listening is influenced by cognitive processing and can affect a listener's comprehension, engagement and responsiveness.
Pheobe Wenyi Sun, Andrew Hines
doaj +1 more source
Subjective QoE of 360-Degree Virtual Reality Videos and Machine Learning Predictions
360-degree video provides an immersive experience to end-users through Virtual Reality (VR) Head-Mounted-Displays (HMDs). However, it is not trivial to understand the Quality of Experience (QoE) of 360-degree video since user experience is influenced by ...
Muhammad Shahid Anwar +5 more
doaj +1 more source
Telecom Operator’s Approach to QoE
Telecommunication networks are ever more frequently relying on artificial intelligence and machine learning techniques to detect specific use patterns or potential errors and to take automated decisions when these are encountered.
Karol Kowalik +3 more
doaj +1 more source
An Adaptive Bitrate Algorithm Based on Video Classification [PDF]
The Adaptive Bitrate(ABR) algorithms for streaming media can dynamically adjust the bitrate of video blocks according to network status, and thus improve the user Quality of Experience(QoE).However, the existing algorithms usually ignore the impact of ...
CHEN Zihan, YE Jin, XIAO Qingyu
doaj +1 more source
Forecasting Video QoE With Deep Learning From Multivariate Time-Series
The end users’ satisfactory Quality of Experience (QoE) is a fundamental criterion for networked video service providers such as video-on-demand providers (Netflix, YouTube, etc.), cloud gaming providers (Google Stadia, PlayStation Now, etc.) and ...
Hossein Ebrahimi Dinaki +3 more
doaj +1 more source
QoE Evaluation and Prediction Based on Machine Learning in Service Function Chain [PDF]
Under the Software Defined Network(SDN)/Network Function Virtualization(NFV) cooperative network architecture, the service function chain deployment which only considers a single Quality of Service(QoS) index can not meet the user experience demands for ...
ZHAO Jihong, ZHANG Wenjuan, QIAO Linlin, ZHANG Mengxue
doaj +1 more source
Multimedia Quality of Experience (QoE): Current Status and Future Direction [PDF]
Quality of Experience (QoE) is becoming an important factor of User-Centred Design (UCD). The deployment of pure technical measures such as Quality of Service (QoS) parameters to assess the quality of multimedia applications is phasing out due to the failure of those methods to quantify true user satisfaction.
Chaminda Hewage, Erhan Ekmekcioglu
openaire +3 more sources
Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment
Existing video Quality-of-Experience (QoE) metrics rely on the decoded video for the estimation. In this work, we explore how the overall viewer experience, quantified via the QoE score, can be automatically derived using only information available ...
George Margetis +3 more
doaj +1 more source

