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Prediction Methods for MPEG-4 and H.264 Video Transmission
2011
Journal of Electrical Engineering
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Therefore we illustrate the results of neural networks for video traffic prediction using both mpeg-4 and h.264 trace files. ...
Therefore understanding of video coding standards and video traffic sources, such as video trace files is highly important. ...
NEURAL NETWORKS In this paper the neural networks are used as a tool for video traffic prediction. ...
doi:10.2478/v10187-011-0010-6
fatcat:kekkvhy4yzdupczcxaci5ehm6m
Adaptive Rate Control Low Bit-Rate Video Transmission over Wireless Zigbee Networks
2008
2008 IEEE International Conference on Communications
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The proposed schemes enable to transmit video over ZigBee with minimum data loss and excellent picture quality. ...
The first Neuro-Fuzzy scheme take care that buffer neither oversupplied nor starved with video data. The second Neuro-Fuzzy scheme ensures the departure rate meets the traffic condition of ZigBee. ...
MPEG-4 ENCODR Using video compression we can transmit or manipulate video data very easy and fast. Video compression maximizes reconstruction quality and minimizes video file size. ...
doi:10.1109/icc.2008.18
dblp:conf/icc/ZainaldinLN08
fatcat:jf6n2idyifbynkx6w2yg7q2yim
Guest Editorial Introduction to Special Section on Learning-Based Image and Video Compression
2020
IEEE transactions on circuits and systems for video technology (Print)
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It is estimated that in 2020, 82% of global IP traffic and 79% of global Internet traffic will come from video; globally 3 trillion minutes (5 million years) of video content will cross the Internet each ...
The rapidly increasing consumption of storage capacity and transmission bandwidth from video, especially HD and UHD video content, has made video compression a critical stage to guarantee the quality of ...
doi:10.1109/tcsvt.2020.2995955
fatcat:qv3h5hpjq5gu7l324mbzwjjjmm
Editorial Applied Artificial Intelligence and Machine Learning for Video Coding and Streaming
2021
IEEE Open Journal of Signal Processing
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and constituted 71% of all 2020 IP traffic. 1 Therefore, improving video coding methods and video networking schemes is vital to cope with this increasing demand. ...
Video continues to be the dominant traffic on the Internet, and especially due to the COVID-19 pandemic causing increased video usage, video traffic in the USA increased by 70% in 2020 compared to 2019 ...
Therefore, this paper contributes to both the video quality enhancement and video compression pipelines. ...
doi:10.1109/ojsp.2021.3105305
fatcat:ayzqsqfohvfevafs2cc2ozrxjy
Machine Learning for Multimedia Communications
2022
Sensors
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For example, the high model capacity of the learning-based architectures enables us to accurately model the image and video behavior such that tremendous compression gains can be achieved. ...
In this paper, we review the recent major advances that have been proposed all across the transmission chain, and we discuss their potential impact and the research challenges that they raise. ...
A deep neural network is used to extract the areas of interest from a low-quality video. ...
doi:10.3390/s22030819
pmid:35161566
pmcid:PMC8840624
fatcat:nmz7s6ei3bdddarbt2bqhf6beu
Efficient Video Compression via Content-Adaptive Super-Resolution
[article]
2021
arXiv
pre-print
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This paper presents a new approach that augments existing codecs with a small, content-adaptive super-resolution model that significantly boosts video quality. ...
Video compression is a critical component of Internet video delivery. ...
Our primary finding is that a SR neural network adapted in this manner over the course of a video can provide such a boost to quality, that including a model stream along with the compressed video is more ...
arXiv:2104.02322v1
fatcat:stvwlttugrhglpnpbskz2g2ile
An adaptable neural-network model for recursive nonlinear traffic prediction and modeling of MPEG video sources
2003
IEEE Transactions on Neural Networks
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The performance of the model is evaluated using several real-life MPEG coded video sources of long duration and compared with other linear/nonlinear techniques used for both cases. ...
In this paper, an adaptable neural-network architecture is proposed covering both cases. ...
that achieve an acceptable video quality. ...
doi:10.1109/tnn.2002.806645
pmid:18237998
fatcat:x7lwm4pxbvgl7h3cyobxnefgzm
Optimal nonlinear adaptive prediction and modeling of MPEG video in ATM networks using pipelined recurrent neural networks
1997
IEEE Journal on Selected Areas in Communications
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This paper investigates the application of a pipelined recurrent neural network (PRNN) to the adaptive traffic prediction of MPEG video signal via dynamic ATM networks. ...
The PRNN-based predictor presented in this paper is shown to be promising and practically feasible in obtaining the best adaptive prediction of real-time MPEG video traffic. ...
To overcome this difficulty, an alternative architecture to the traffic prediction of MPEG video with the flexibility to adapt to a changing ATM network environment is based on recurrent neural networks ...
doi:10.1109/49.611161
fatcat:agunurzkyfhz3ehomo6y2kotxq
A dynamic bandwidth resource allocation based on neural networks in euroskyway multimedia satellite system
2003
International Journal of Communication Systems
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The approach perform an online estimation of expected resource requests implementing traffic resource assignment by using a sub-symbolic adaptive representation of the traffic source. ...
An accurate design of neural network architecture and the low-cost industrial availability of this novel technology lead to an optimal trade-off between customer satisfaction in terms of QoS and system ...
Traffic Source The source data utilized for our analysis consist of portions of video streams codified with the MPEG-1 video standard compression [12] . ...
doi:10.1002/dac.578
fatcat:sngepiw6vbagrmyb5ccyskpi2y
Wireless Sensor Networks to Improve Road Monitoring
[chapter]
2012
Wireless Sensor Networks - Technology and Applications
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Image compression Vs. video compression Compression standards use different methods and have various transmission rate, quality and latency. ...
With effective compression techniques, it is possible to obtain a considerable file size reduction with minimal effects on image quality. ...
doi:10.5772/48505
fatcat:rllp24pxhfairl5o5ohl3l2ewu
QoE-aware Video Rate Adaptation algorithms in multi-user IEEE 802.11 wireless networks
2015
2015 IEEE International Conference on Communications (ICC)
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video quality as network conditions change. ...
The spreading of video streaming services in the last few years is presenting new challenges in wireless networking; Video Rate Adaptation (VRA) is a technique that optimizes the bandwidth usage by adapting ...
ACKNOWLEDGMENT This work was supported by the project A Novel Approach to Wireless Networking based on Cognitive Science and Distributed Intelligence, funded by Fondazione CaRiPaRo under the framework ...
doi:10.1109/icc.2015.7249297
dblp:conf/icc/ChiariottiPZZ15
fatcat:ox2tgmu3sndmrg3yefbipz34vm
2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29
2019
IEEE transactions on circuits and systems for video technology (Print)
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Liu, H., +, TCSVT Feb. 2019 486-501 Traffic engineering computing Adaptive Deep Convolutional Neural Networks for Scene-Specific Object Detection. ...
., +, TCSVT May 2019
1408-1422
Blind Video Quality Assessment With Weakly Supervised Learning and Res-
ampling Strategy. ...
doi:10.1109/tcsvt.2019.2959179
fatcat:2bdmsygnonfjnmnvmb72c63tja
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions
[article]
2020
arXiv
pre-print
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Internet-enabled smartphones and ultra-wide displays are transforming a variety of visual apps spanning from on-demand movies and 360-degree videos to video-conferencing and live streaming. ...
In this paper, we survey state-of-the-art content delivery systems that employ neural enhancement as a key component in achieving both fast response time and high visual quality. ...
Hence, additional techniques, such as adaptive bitrate and neural enhancement, have been introduced that enable the dynamic adaptation to the varying quality of the channel. Adaptive Bitrate. ...
arXiv:2010.05838v2
fatcat:bgzcbhewpbge3e7idxpvewa4di
Doctoral Consortium - Paper 3 - Wilmer Moina-Rivera
[article]
2020
Figshare
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Title: Video Encoding Cloud System for High Performance ScenariosAuthor: Wilmer Moina-Rivera ...
The proposed system split the video in scenes and encodes each scene by selecting the coding parameters adaptively in order to achieve a target quality value. ...
However, determining the coding parameters so that each segment of video processed in a distributed environment has the highest quality, the ability to adapt to the bandwidth of clients and the capabilities ...
doi:10.6084/m9.figshare.12479348.v1
fatcat:2bk6e767b5eqtl22pno53nij6u
Fuzzy Logic Controller for Wireless Video Transmission
2011
Journal of Computer Science
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The traffic shaping buffer is used to prevent excess back-to-back transmission of video signals. ...
Results: Simulation results showed that the use of intelligent fuzzy logic and nero-fuzzy controller improved the data transmission rate and decreased long delay when compared with other conventional methods ...
The traffic-shaper releases two sources of data. The MPEG encoder compressed video sequence and the data kept in the traffic-shaper. ...
doi:10.3844/jcssp.2011.1119.1127
fatcat:vwide4jfc5avjjrmcjyqy5uhq4
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