A Two Time-Scales Network Bandwidth Measurement for Video Transmission

2016 ◽  
Author(s):  
Peng Wang ◽  
Guangyuan Zhang ◽  
Cui Ni ◽  
Kefeng Li
Keyword(s):  
Time Scales ◽  
Video Transmission ◽  
Network Bandwidth ◽  
Bandwidth Measurement

Real-Time Bus Video Monitoring System Based on 3G Network

2013 ◽  
Vol 380-384 ◽  
pp. 790-793
Author(s):  
Min Feng ◽  
Jie Sun ◽  
Yin Yang Zhang
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Video Transmission ◽  
Video Data ◽  
Video Monitoring ◽  
Network Bandwidth ◽  
Real Time Traffic ◽  
3G Network ◽  
Transmission Quality ◽  
Video Transmission Quality

According to some bottleneck problems of the communication network bandwidth in wireless video transmission, a design scheme of real-time traffic video monitoring system based on 3G network is put forward in this paper. The design of hardware and the software realization of the system process are mainly introduced. TMS320DM8168 is selected to build the hardware platform in this system. H.264 video encoder is integrated internally. The real-time transmission of video data is sent to the remote monitoring center through the 3G network to improve the video transmission quality. The system meets the requirements of video transmission applied in automobiles.

scholarly journals Joint Redundant and Random Network Coding for Robust Video Transmission over Lossy Networks

2012 ◽  
Vol 8 (3) ◽  
pp. 213-230 ◽  
Author(s):  
Xingjun Zhang ◽  
Cuiping Jing ◽  
Feilong Tang ◽  
Scott Fowler ◽  
Huali Cui ◽  
...  
Keyword(s):  
Network Coding ◽  
Packet Loss ◽  
Video Transmission ◽  
Random Network ◽  
Scalable Video Coding ◽  
Lossy Networks ◽  
Random Network Coding ◽  
Network Bandwidth ◽  
The Impact ◽  
Global Coding

In this paper a novel unequal packet loss protection scheme R2NC based on low-triangular global coding matrix with ladder-shaped partition is presented, which combines redundant and random network coding for robust H.264/SVC video transmission. Firstly, the error-correcting capabilities of redundant network coding make our scheme resilient to loss. Secondly, the implementation of random network coding at the intermediate nodes with multiple input links can reduce the cost of network bandwidth, thus reducing the end-to-end delay for video transmission. Thirdly, the low-triangular global coding matrix with ladder-shaped partition is maintained throughout the R2NC processes to reduce the impact of global coding matrix's rank deficiency on video transmission and provide unequal erasure protection for H.264/SVC priority layers. The redundant network coding avoids the retransmission of lost packets and improves error-correcting capabilities of lost packets. Based only on the knowledge of the packet loss rates on the output links, the source node and intermediate nodes can make decisions for redundant network coding and random network coding (i.e., how much redundancy to add at this node). However, the redundancy caused by redundant network coding makes the network load increases. In order to improve network throughput, we performed random network coding at the intermediate nodes. Our approach is grounded on the overall distortion of reconstructed video minimization by optimizing the amount of redundancy assigned to each layer. The convex optimization model is constructed under the constraint of network coding and scalable video coding. Experimental results are shown to demonstrate the significant improvement of H.264/SVC video reconstruction quality with R2NC over packet lossy networks.

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.

An Efficient Enhanced Full Homomorphic Encryption For Securing Video In Cloud Environment

2021 ◽  
Author(s):  
Geetha N ◽  
Mahesh K
Keyword(s):  
Video Transmission ◽  
Homomorphic Encryption ◽  
Significant Rise ◽  
Multimedia Data ◽  
Key Generation ◽  
Cloud Environment ◽  
Computation Complexity ◽  
Fully Homomorphic Encryption ◽  
Network Bandwidth ◽  
Matrix Operations

Abstract At present days, exponential growth in the transmission of multimedia data takes place due to a significant rise in network bandwidth and video image compression technologies. However, the transmission of videos over wireless channels often brings an unseen risk that sensitive video details might be corrupted and distributed in an illegal way. So, the security of video transmission has become a hot research topic. Several encryption models have been presented in the literature, yet, it is believed that the performance of encryption process can be further improved. In this perspective, an efficient novel video encryption technique is presented using an enhanced variant of Fully Homomorphic Encryption (FHE) model called as EFHE model. By the hybridization of Ducas and Micciancio (DM) with the FHE model presented by Gentry, Sahai, and Waters (GSW), matrix operations vector additions are properly employed in the proposed EFHE model. In addition, a new key generation scheme to increase the fastness of the encryption process. The EFHE model is designed and placed on a cloud environment which leads to reduced cloud user’s communication and computation complexity. It is ensured that the presented EFHE model is highly efficient and secure over the compared methods.

Object Detection Algorithm in Traffic Video Surveillance Based on Compressed Sensing

2013 ◽  
Vol 333-335 ◽  
pp. 817-821
Author(s):  
Fen Lan Li ◽  
Zhuo Tao Peng ◽  
Zhe Min Zhuang
Keyword(s):  
Compressed Sensing ◽  
Object Detection ◽  
Video Transmission ◽  
Detection Algorithm ◽  
Highway Traffic ◽  
Wavelet Base ◽  
Information Quantity ◽  
Network Bandwidth ◽  
Background Difference ◽  
Changing Light

To adapt the contradiction between the increasing information quantity of highway traffic network monitoring and the limited network bandwidth resources, this paper proposes an object detection algorithm based on Bayesian compressed sensing. Video are sparse in a wavelet base, and a partial Hadamard measurement matrix is adopted to compress the video. The object detection method combines background difference and Bayesian compressed sensing of wavelet tree structure. To get more accurate foreground, an adaptive background model is proposed. Experiments results show the accuracy and effectiveness of the method, and can robustly detect the targets under changing light and reduce the price of video transmission.

scholarly journals Channel Allocation Based on Content Characteristics for Video Transmission in Time-Domain-Based Multichannel Cognitive Radio Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Md. Jalil Piran ◽  
M. Ejaz Ahmed ◽  
Amjad Ali ◽  
Ju Bin Song ◽  
Doug Young Suh
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Video Transmission ◽  
Channel Allocation ◽  
Radio Networks ◽  
Spectrum Efficiency ◽  
Superior Performance ◽  
Network Bandwidth ◽  
Transmission Interruption

This paper proposes a method for channel allocation based on video content requirements and the quality of the available channels in cognitive radio networks (CRNs). Our objective is to save network bandwidth and achieve high-quality video delivery. In this method, the content is divided into clusters based on scene complexity and PSNR. To allocate channel to the clusters over multichannel CRNs, we first need to identify the licensee’s activity and then maximize the opportunistic usage accordingly. Therefore, we classify short and long time transmission opportunities based on the licensee’s activities using a Bayesian nonparametric inference model. Furthermore, to prevent transmission interruption, we consider the underlay mode for transmission of the clusters with a lower bitrate. Next, we map the available spectrum opportunities to the content clusters according to both the quality of the channels and the requirements of the clusters. Then, a distortion optimization model is constructed according to the network transmission mechanism. Finally, to maximize the average quality of the delivered video, an optimization problem is defined to determine the best bitrate for each cluster by maximizing the sum of the logarithms of the frame rates. Our extensive simulation results prove the superior performance of the proposed method in terms of spectrum efficiency and the quality of delivered video.

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.

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