Spatiotemporal feature learning for no-reference gaming content video quality assessment
NW Kwong, YL Chan, SH Tsang, Z Huang… - Journal of Visual …, 2024 - Elsevier
Recently, over-the-top live gaming content video (GCV) services have significantly
contributed to the overall internet traffic. Consequently, there is a growing demand of GCV …
contributed to the overall internet traffic. Consequently, there is a growing demand of GCV …
Multiple Image Distortion DNN Modeling Individual Subject Quality Assessment
L Fotio Tiotsop, A Servetti, P Pocta… - ACM Transactions on …, 2024 - dl.acm.org
A recent research direction is focused on training Deep Neural Networks (DNNs) to replicate
individual subject assessments of media quality. These DNNs are referred to as Artificial …
individual subject assessments of media quality. These DNNs are referred to as Artificial …
Feature Maps Correlation-based Video Quality Assessment
AH Bakhtiari, A Mansouri - Multimedia Tools and Applications, 2024 - Springer
Blind video quality assessment (BVQA) techniques try to assess the perceived quality of a
degraded video with no prior knowledge of the reference. Deep learning-based techniques …
degraded video with no prior knowledge of the reference. Deep learning-based techniques …
Two-Stage Deep Learning-YouTube Video Recommendation Process
C Balakrishna, DS Mani, AB Reddy… - … Conference on New …, 2023 - ieeexplore.ieee.org
YouTube is one of the most widely used and technically advanced commercial systems of
recommendations. It provides an overview of the system and highlights the remarkable …
recommendations. It provides an overview of the system and highlights the remarkable …