Optimized H.264 Video Encoding and Packetization for Video Transmission Over Pipeline Forwarding Networks

2009 ◽  
Vol 11 (5) ◽  
pp. 972-985 ◽  
Author(s):  
E. Masala ◽  
A. Vesco ◽  
M. Baldi ◽  
J.C. De Martin
Keyword(s):  
Video Transmission ◽  
Video Encoding

scholarly journals A Simulation Tool for Evaluating Video Streaming Architectures in Vehicular Network Scenarios

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1970
Author(s):  
Pedro Pablo Garrido Abenza ◽  
Manuel P. Malumbres ◽  
Pablo Piñol ◽  
Otoniel López Granado
Keyword(s):  
Video Transmission ◽  
Vehicular Networks ◽  
Experimental Tests ◽  
Video Encoding ◽  
Simulation Tool ◽  
Simulation Research ◽  
Integrated Simulation ◽  
Network Simulators ◽  
Set Up ◽  
User Friendly

An integrated simulation tool called Video Delivery Simulation Framework over Vehicular Networks (VDSF-VN) is presented. This framework is intended to allow users to conduct experiments related to video transmission in vehicular networks by means of simulation. Research on this topic requires the use of many independent tools, such as traffic and network simulators, intermediate frameworks, video encoders and decoders, converters, platform-dependent scripting languages, data visualisation packages and spreadsheets, and some other tasks are performed manually. The lack of tools necessary to carry out all these tasks in an integrated and efficient way formed the motivation for the development of the VDSF-VN framework. It is managed via two user-friendly applications, GatcomSUMO and GatcomVideo, which allow all the necessary tasks to be accomplished. The first is primarily used to build the network scenario and set up the traffic flows, whereas the second involves the delivery process of the whole video, encoding/decoding video, running simulations, and processing all the experimental results to automatically provide the requested figures, tables and reports. This multiplatform framework is intended to fill the existing gap in this field, and has been successfully used in several experimental tests of vehicular networks.

scholarly journals Cross-Layer Framework for Multiuser Real Time H.264/AVC Video Encoding and Transmission over Block Fading MIMO Channels Using Outage Probability

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Slavche Pejoski ◽  
Venceslav Kafedziski
Keyword(s):  
Real Time ◽  
Fading Channels ◽  
Video Transmission ◽  
Single Layer ◽  
Rate Distortion ◽  
Wireless Channel ◽  
Video Encoding ◽  
Cross Layer ◽  
Mimo Channels ◽  
Channel Errors

We present a framework for cross-layer optimized real time multiuser encoding of video using a single layer H.264/AVC and transmission over MIMO wireless channels. In the proposed cross-layer adaptation, the channel of every user is characterized by the probability density function of its channel mutual information and the performance of the H.264/AVC encoder is modeled by a rate distortion model that takes into account the channel errors. These models are used during the resource allocation of the available slots in a TDMA MIMO communication system with capacity achieving channel codes. This framework allows for adaptation to the statistics of the wireless channel and to the available resources in the system and utilization of the multiuser diversity of the transmitted video sequences. We show the effectiveness of the proposed framework for video transmission over Rayleigh MIMO block fading channels, when channel distribution information is available at the transmitter.

DCVS A Dynamic Control for Video Traffic in SPICE

2018 ◽  
Vol 11 (3) ◽  
pp. 15-28
Author(s):  
Yu Chen ◽  
Aiwu Shi ◽  
Kai He ◽  
Zhiqiang Hu ◽  
Nan Su
Keyword(s):  
High Performance ◽  
Video Transmission ◽  
Dynamic Control ◽  
Video Encoding ◽  
Dynamic Adjustment ◽  
Video Traffic ◽  
Network Bandwidth ◽  
Desktop Virtualization ◽  
Virtual Desktop ◽  
Remote Clients

This article describes how with the development of cloud computing and virtualization technology, the desktop virtualization solution is becoming more and more mature. As a virtual desktop transport protocol, SPICE is used for deploying virtual desktops on servers and remote clients with high performance. However, it will take up a lot of network bandwidth and cause network congestion in a relatively poor network environment on video transmission. To solve this problem, a dynamic adjustment for video traffic (DCVS) in SPICE is proposed. It can dynamically adjust the bit rate of the video encoding according to the state of the virtual buffer and the feedback from client. The experiment results prove that DCVS can effectively reduce the video traffic and the probability of congestion.

Video Quality Evaluation for H.264 Video Streaming over Wireless Networks

2013 ◽  
Vol 760-762 ◽  
pp. 639-642
Author(s):  
Li Qiang Liu ◽  
Yue Bing Wang ◽  
Quan Feng Yan
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Video Transmission ◽  
Rapid Development ◽  
Video Quality ◽  
Video Encoding ◽  
Network Bandwidth ◽  
Transmission Quality ◽  
Routing Technology

With the rapid development of computer technology and wireless network communication technology, video encoding technology will be more and more widely applied in the limited resources of the wireless network. Due to the large amount of data of the video transmission , transmission quality of transmit video on the wireless network are varied with different compression parameters, network parameters and network conditions. Simulation results show that the transmission of video over wireless networks, must be based on the current network conditions, choosing the suitable GOP length and quantitative parameters to get the high image quality. In specific applications, network topology, network bandwidth, routing technology and transmission of packet segmentation scheme and other factors will affect the quality of service for video services.

Medical Tele-Diagnosis Robot (MTR) - Internet Based Communication & Navigation System

2014 ◽  
Vol 490-491 ◽  
pp. 1177-1189 ◽  
Author(s):  
Muralindran Mariappan ◽  
Vigneswaran Ramu ◽  
Brendan Khoo Teng Thiam ◽  
Thayabaren Ganesan ◽  
Manimehala Nadarajan
Keyword(s):  
Video Transmission ◽  
Graphics Processing Unit ◽  
Cost Effective ◽  
Video Stream ◽  
Video Encoding ◽  
Maintenance Cost ◽  
Processing Unit ◽  
Audiovisual Communication ◽  
User Input ◽  
Intelligence System

Medical Tele-diagnosis Robot (MTR) is a cost effective telemedicine mobile robot that provides tele-presence capability for the specialist on a remote location to virtually meet the patient, perform diagnostics and consult the resident doctor regarding the patient via internet. This paper highlights on the development of a doctor-robot interface where the doctor or user can control the robot reliably via regular internet connection from a different location, a distributed secured network for MTRs communication, an audiovisual communication system for tele-diagnosis and a navigation safety system called Danger Monitoring System (DMS) as part of MTRs assistive internet based navigation remote control system. The overall setup and maintenance cost of MTR is reduced by adopting a decentralized network via hybrid P2P technology. With this, the network load is distributed among the users. As for the audiovisual system, the timeliness of the video transmission from the robot to the operator can be attained by CUDA H.264 video encoding to reduce the size of the video stream and by taking advantage of the highly-parallel processors in the graphics processing unit. Combinations of sensors are place around the robot to provide data on the robots surrounding during operation. The sensors data are fed into the DMS algorithm which is equipped with fuzzy logic based artificial intelligence system to process the data from all the sensors and user input to decide preventative measures to avoid any danger to humans and the robot in terms of obstacle avoidance and robot tilt angle safety. The overall system is tested by a set of experiments and found to be demonstrating an acceptable performance. This system proved to be suitable to be used in MTR.

scholarly journals A Novel Video Transmission Optimization Mechanism Based on Reinforcement Learning and Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Nan Hu ◽  
Xuming Cen ◽  
Fangjun Luan ◽  
Liangliang Sun ◽  
Chengdong Wu
Keyword(s):  
Reinforcement Learning ◽  
Video Transmission ◽  
Video Quality ◽  
Transmission Efficiency ◽  
Edge Computing ◽  
Video Encoding ◽  
Optimization Strategy ◽  
Video Caching ◽  
Popularity Prediction ◽  
Encoding Method

As we know, the video transmission traffic already constitutes 60% of Internet downlink traffic. The optimization of video transmission efficiency has become an important challenge in the network. This paper designs a video transmission optimization strategy that takes reinforcement learning and edge computing (TORE) to improve the video transmission efficiency and quality of experience. Specifically, first, we design the popularity prediction model for video requests based on the RL (reinforcement learning) and introduce the adaptive video encoding method for optimizing the efficiency of computing resource distribution. Second, we design a video caching strategy, which adopts EC (edge computing) to reduce the redundant video transmission. Last, simulations are conducted, and the experimental results fully demonstrate the improvement of video quality and response time.

Efficient Frame Error Concealment Using Bilateral Motion Estimation for Low Bit-Rate Video Transmission

2009 ◽  
Vol E92-B (2) ◽  
pp. 461-472
Author(s):  
DinhTrieu DUONG ◽  
Min-Cheol HWANG ◽  
Byeong-Doo CHOI ◽  
Jun-Hyung KIM ◽  
Sung-Jea KO
Keyword(s):  
Motion Estimation ◽  
Video Transmission ◽  
Error Concealment ◽  
Bit Rate ◽  
Low Bit Rate

An Efficient Multiple Description Coding for Multi-View Video Based on the Correlation of Spatial Polyphase Transformed Subsequences

2019 ◽  
Vol 63 (5) ◽  
pp. 50401-1-50401-7 ◽  
Author(s):  
Jing Chen ◽  
Jie Liao ◽  
Huanqiang Zeng ◽  
Canhui Cai ◽  
Kai-Kuang Ma
Keyword(s):  
Video Transmission ◽  
Video Sequence ◽  
Three Dimensional ◽  
The Other ◽  
Multiple Description Coding ◽  
Multiple Description ◽  
Prediction Mode ◽  
Gradient Based ◽  
Directional Interpolation ◽  
Description Coding

Abstract For a robust three-dimensional video transmission through error prone channels, an efficient multiple description coding for multi-view video based on the correlation of spatial polyphase transformed subsequences (CSPT_MDC_MVC) is proposed in this article. The input multi-view video sequence is first separated into four subsequences by spatial polyphase transform and then grouped into two descriptions. With the correlation of macroblocks in corresponding subsequence positions, these subsequences should not be coded in completely the same way. In each description, one subsequence is directly coded by the Joint Multi-view Video Coding (JMVC) encoder and the other subsequence is classified into four sets. According to the classification, the indirectly coding subsequence selectively employed the prediction mode and the prediction vector of the counter directly coding subsequence, which reduces the bitrate consumption and the coding complexity of multiple description coding for multi-view video. On the decoder side, the gradient-based directional interpolation is employed to improve the side reconstructed quality. The effectiveness and robustness of the proposed algorithm is verified by experiments in the JMVC coding platform.

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