scholarly journals An Adaptive Video Transmission Mechanism over MEC-Based Content-Centric Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Longzhe Han ◽  
Jia Zhao ◽  
Xuecai Bao ◽  
Guangming Liu ◽  
Yan Liu ◽  
...  
Keyword(s):  
Video Streaming ◽  
Video Transmission ◽  
Transmission Rate ◽  
Scalable Video Coding ◽  
Video Data ◽  
Transmission Mechanism ◽  
Communication Model ◽  
Network Efficiency ◽  
Recovery Algorithm ◽  
Adaptive Video

The rapid growth of video traffic poses serious challenges to the current Internet. Content-Centric Networking (CCN) as a promising candidate has been proposed to reengineer the Internet architecture. The in-network caching and named content communication model of CCN can enhance the video streaming applications and reduce the network workload. Due to the bandwidth-consuming characteristic of video streaming, the aggressive transmission of video data will cause a reduction of overall network efficiency. In this paper, we present an adaptive video transmission mechanism over Mobile Edge Computing- (MEC-) based CCN. The computation and storage resources of the MEC server are utilized to facilitate the video delivery. Our mechanism adopts a scalable video coding scheme to adaptively control transmission rate to cope with the network condition variation. To analyse the equilibrium property of the proposed mechanism, an analytical model is deduced by using network utility function and convex programming. We also take into account the packet loss in wired and wireless links and present a MEC assistant loss recovery algorithm. The experiment results demonstrate the performance improvement of our proposed mechanism.

Research and Implementation of RTP/RTCP in Mobile Video Surveillance System

2014 ◽  
Vol 926-930 ◽  
pp. 2521-2524
Author(s):  
Han Cao ◽  
Hao Zeng ◽  
Yang Fu
Keyword(s):  
Video Compression ◽  
Video Surveillance ◽  
Packet Loss ◽  
Surveillance System ◽  
Video Transmission ◽  
Transmission Rate ◽  
Video Data ◽  
Video Surveillance System ◽  
Mobile Video ◽  
Transmission Method

As people for the need on more security, traditional fixed video surveillance cannot satisfied with people’s varying requirements. This paper demonstrates the framework of a set of mobile video surveillance which support CDMA2000/TD-SCDMA/WCDMA network, RTP protocol is chosen as the transport protocol and H.264 is chosen as the video compression standard. Select RTCP protocol gather packet loss fraction parameter that controls the transmission rate of RTP traffic. We analyze RTP/RTCP protocol and media data transmission process in video surveillance system; discuss the current video transmission method in video surveillance system, the problem of packet loss while transporting video data, and extract packet process of RTP packet.

Techniques and Tools for Adaptive Video Streaming

2013 ◽  
pp. 65-101
Author(s):  
Martin Fleury ◽  
Laith Al-Jobouri
Keyword(s):  
Video Coding ◽  
Video Streaming ◽  
Scalable Video Coding ◽  
Mobile Internet ◽  
Scalable Video ◽  
Adaptive Video Streaming ◽  
Mobile Access ◽  
Adaptive Video ◽  
Http Streaming ◽  
Bandwidth Capacity

Adaptive video streaming is becoming increasingly necessary as quality expectations rise, while congestion persists and the extension of the Internet to mobile access creates new sources of packet loss. This chapter considers several techniques for adaptive video streaming including live HTTP streaming, bitrate transcoding, scalable video coding, and rate controllers. It also includes additional case studies of congestion control over the wired Internet using fuzzy logic, statistical multiplexing to adapt constant bitrate streams to the bandwidth capacity, and adaptive error correction for the mobile Internet. To guide the reader, the chapter makes a number of comparisons between the main techniques, for example explaining why currently per-encoded video may be better-streamed using adaptive simulcast than by transcoding or scalable video coding.

scholarly journals Adaptive video transmission over software defined networks

2019 ◽  
Vol 13 (1) ◽  
pp. 152-161
Author(s):  
Fran Wilson Sanabria Navarro ◽  
Juan Gabriel Bustos ◽  
Wilder Eduardo Castellanos Hernández
Keyword(s):  
Video Streaming ◽  
Video Transmission ◽  
Adaptive Transmission ◽  
Software Defined Network ◽  
Software Defined Networks ◽  
Video Streams ◽  
Adaptive Video ◽  
Streaming Services

This paper presents the results of a study on the evaluation of adaptive transmission of video streams using the DASH technique on Software Defined Networks. There are also presented in this document, the description of the tools required for the implementation of the evaluation, as well as a description of the methodology used for the development of the experiments. In addition, the results of an adaptive transmission of a video by using DASH are presented. This transmission was carried out over a software defined network emulated on MININET. The results show that DASH technique easily allows to implement video streaming services that can adapt the quality of the transmission according to the resources available in the network.

WiFi Wireless Video Transmission Technology's Application in Intelligent Home

2013 ◽  
Vol 846-847 ◽  
pp. 1487-1490
Author(s):  
Xin Jun Shi ◽  
Xi En Ye ◽  
Chang Ye Li
Keyword(s):  
Video Transmission ◽  
Transmission Rate ◽  
Embedded Linux ◽  
Video Data ◽  
Wireless Video ◽  
Intelligent Home ◽  
Wireless Video Transmission ◽  
Ssl Protocol ◽  
Embedded Linux System ◽  
Technical Basis

This Paper takes WiFi wireless video transmission as the technical basis, realized a remote WiFi video system through embedded Linux system, and successfully applyed it in the intelligent home control.The WiFi module is based on IEEE802.11n wireless protocol, which improves the highest transmission rate to 300 Mbps. Wireless camera capture video data and use H.264 to encode it, which greatly reduces the consume of the wireless bandwidth.The PDA terminal is implemented to comunicate with embedded Linux system via TCP/IP protocol, while the data is encrypted by TLS/SSL protocol.

Adaptive Video Streaming Using Bandwidth Estimation for 3.5G Mobile Network

2009 ◽  
Vol E92-B (12) ◽  
pp. 3893-3902
Author(s):  
Hyeong-Min NAM ◽  
Chun-Su PARK ◽  
Seung-Won JUNG ◽  
Sung-Jea KO
Keyword(s):  
Video Streaming ◽  
Mobile Network ◽  
Bandwidth Estimation ◽  
Adaptive Video Streaming ◽  
Adaptive Video

Design of embedded acoustic image acquisition system for wireless sensor network

2021 ◽  
pp. 1-8
Author(s):  
Xiaoping Huang ◽  
Fangyi Wen ◽  
Zhongxin Wei
Keyword(s):  
Transmission Rate ◽  
Image Acquisition ◽  
Transmission System ◽  
Video Data ◽  
Wireless Transmission ◽  
Acquisition System ◽  
Wireless Sensor ◽  
Acoustic Image ◽  
Image Acquisition System ◽  
Embedded Image

In recent years, with the development of communication technology, embedded computing technology and sensor technology, it has become increasingly mature. Micro sensors with sensing, computing and communication capabilities have appeared in large numbers and developed rapidly, making wireless sensor networks widely used. People put forward higher requirements for the accuracy, reliability and flexibility of the image acquisition system. The image transmission system using analog technology not only has low image quality, but also has a serious waste of system resources, is not easy to form a complex network structure, and has poor functional scalability. In view of the actual needs of the current image acquisition and wireless transmission system, based on embedded technology, image acquisition, processing technology and network transmission technology, this paper proposes and designs a low-cost, high-reliability embedded image acquisition and wireless transmission system. Experimental tests show that this system has reasonable design, high video coding efficiency, good image continuity, stable operation, and basically realizes the display, storage and playback functions of the collected video data. Improve the transmission rate of the system and reduce the distortion caused by compression in terms of image compression. At the same time, it supports multiple image resolutions, frame rate options and multiple video formats, and the system’s transmission rate can adapt to the state of the network. This design fulfills the basic requirements of an embedded image acquisition system based on network technology, and provides a good foundation for the next development of a gigabit network-based image acquisition system.

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