… We start with the background of video streaming for distributed video analytics, including
its need, performance metrics, and design space. We then use empirical measurements to …

… deep learning, in this work we propose and present an integration of wireless multimedia
systems and deep learning. … topics to embrace deep learning techniques. After that, we present …

… which is an LSTM-CNN based deep neural model for adaptive video streaming. It has been
… learning based approaches, the proposed model can predict more accurate bit-rate of video …

… These four features can be obtained from the stream as it finishes and are directly computed.
On the pixel level, we demonstrated [23] that in video streaming, degradations in terms of …

… type (eg artificial neural networks, regression models), any newly released video … learning
(UL) methods. Second, to master the sheer scale of the problem, we selected Deep Learning (…

… assume the video data is continuously being streamed from … of the deep learning pipeline
for video analytics by utilizing … based deep learning pipeline distribution for efficient video …

… video streaming scheme with deep Q-learning techniques and bandwidth sharing policies,
which performs video … one of the few deep Q-learning adaptive video streaming solutions that …

… and 360 videos to video-conferencing and live streaming. However… In recent years, advances
in the field of deep learning on … on the latest insights from deep learning research to further …

… deep learning in 360 video transmission and we highlight the challenges associated with
360 video streaming. … In this article, we review the current approaches on deep learning …

… However, to the best of our knowledge, there is no similar research work about deep learning
solutions to hybrid NR video streaming QoE assessment based on spatio-temporal visual …