Video Transmission Technology Research Articles

ANALYSIS OF VIDEO DATA COMPRESSION ALGORITHMS AND OPTIMIZED FOR USE IN REMOTELY CONTROLLED DRONES

Due to the widespread use of unmanned aerial vehicles (UAVs) in the civil sphere, there is a need to improve the video image generation quality and transmission technologies, changing the video streams coding to reduce their size and improve quality. Video streaming technologies are moving further towards complicating the video transmission systems used, which helps improve the received video data quality. Higher of transmitted video signal quality – more requirements for frequency band increase used. This fact leads us to use effective video compression algorithms that allow us to combine high image quality with a narrow bandwidth of frequencies used. In this paper, currently existing coding algorithms, their efficiency and computational complexity are studied. Among the algorithms under consideration there will only be those whose effectiveness has been proven by finding their application in modern realities. Based on the research, conclusions will be drawn regarding the feasibility of using each encoding algorithm for transmitting video data in real time.

Effectiveness of Artificial Intelligence Multimedia Courseware in Classroom Teaching Application.

In the information age, traditional teaching methods can no longer meet the needs of modern students, and the emergence of multimedia courseware teaching mode just solves this problem. Under the trend of education integration, multimedia courseware is becoming more and more important in classroom teaching. Aiming at the characteristics of AI multimedia courseware classroom teaching mode, we discuss the practical application of AI multimedia courseware in classroom teaching and study the classroom teaching mode. Building a distance education platform through network technology can promote the education level. At the same time, the interactive distance education platform serves as a new network platform for system users in the website. In order to speed up the process of education informationization and improve the quality of education, this paper uses .NET technology and video transmission technology to design and implement a multiperson video conversation interactive distance education platform. Through the comparative experiment of two classes in Chengguan Middle School, using this platform for teaching, the average grade of students and the average grade of each course are better than the average grade of nonplatform classes, and the student's cognitive level has improved and is higher than the same level class. The results show that this platform can support a large number of online users and is very good for students of different majors. Through flexible and interactive course interaction, students are more convenient and more independent to learn but also reduce the teacher's time cost and greatly play the advantages of distance education, and the English teaching mode of artificial intelligence multimedia courseware is very popular with students. More than 60% of teachers are satisfied with the teaching mode and above.

Video quality assessment with dense features and ranking pooling

Benefiting with the rapid development of communication networks, effective video quality assessment (VQA) models which provide guidance for video transmission and compression technologies are highly demanded. This paper proposes a general-purpose full-reference VQA method combining DenseNet with spatial pyramid pooling and RankNet to not only extract high-level distortion representation and global spatial information of samples but also characterize the temporal correlation among frames. Firstly, the pretrained DenseNet is modified and finetuned to extract high-level features of distorBenefiting with the rapid development of communication networks, effective video quality assessment (VQA) models which provide guidance for video transmission and compression technologies are highly demanded. This paper proposes a general-purpose full-reference VQA method combining DenseNet with spatial pyramid pooling and RankNet to not only extract high-level distortion representation and global spatial information of samples but also characterize the temporal correlation among frames. Firstly, the pretrained DenseNet is modified and finetuned to extract high-level features of distorted videos. Then, spatial pyramid pooling is equipped in the DenseNet module to process flexible inputs with arbitrary spatial resolution. Thus, this kind of input which has the same spatial resolution as the original distorted video is processed by the well-trained DenseNet to generate frame-level quality, which considers the global spatial information of videos directly. Finally, learning to rank is introduced to explore the high-level temporal correlation of distorted videos by taking the RankNet as the temporal pooling function. The experimental results on two public VQA databases show that the proposed algorithm performs consistently with human visual perception.

Research on HEVC screen content coding and video transmission technology based on machine learning

With the complexity of the 5 G network environment and the diversified requirements for video transmission, multimedia content transmission in different channel environments is a direction worth studying in order to achieve good performance of digital media content transmission systems in an open network environment. Based on the code stream structure characteristics of screen content in HEVC, this paper has proposed a joint source channel coding (JSCC) scheme to study the transmission of compressed video in wireless channels. Combined with the clustering algorithm from the field of artificial intelligence in the environment of wireless channel classification problem, the parameters of the wireless channel and the influencing factors can be used to reduce the noise and then use the FCM (Fuzzy C-Means) clustering algorithm to classify the channel environment. According to the channel status, optimize the current remaining resources and implement channel coding through LDPC codes. By analyzing and minimizing the end-to-end distortion model, the adaptive bit rate allocation further guarantees the quality of the reconstructed video.

A Design of SDR-Based Pseudo-analog Wireless Video Transmission System

The pseudo-analog wireless video transmission technology can improve the effectiveness, reliability, and robustness of the conventional digital system in video broadcast scenarios. Although some prototypes of IEEE 802.11 series have been developed for researchers to do simulations and experiments, they are usually expensive and provide very limited access to the physical layer. More importantly, these prototypes cannot be used to verify the correctness of the new proposed pseudo-analog wireless video transmission algorithms directly due to limited modulation modes they can support. In this paper, we present a novel design of software radio platform (SDR)-based pseudo-analog wireless video transceiver which is completely transparent and allows users to learn all the implementation details. Firstly, we prove that the analog method can also achieve the optimal performance as the digital method from the perspective of the rate-distortion theory. Then, we describe the two hardware implementation difficulties existed in the designing process including the data format modification and the non-linear distortion. Next, we introduce the implementation details of the designed transceiver. Finally, we analyze the performance of the designed transceiver. Specifically, the results show that the designed system can work effectively in both simulations and experiments.

Applications Research of Wireless Video Transmission Technology in Security Monitoring

With the development of monitoring industry from full analog monitoring to full digital monitoring system, monitoring transmission technology has also experienced from closed-circuit television transmission to lP wired network transmission. The security monitoring system based on wireless video is intuitive in form and rich in content. Wireless video intelligent monitoring and control part and display and recording part are applied in many places of society. Through the control operation of the camera host, the image captured by the camera is collected and sorted, and the image is input, stored and replayed through specific processing mode. Moreover, video intelligent analysis technology can greatly improve the efficiency of security monitoring and realize the unattended automatic security monitoring system. Gradually moving towards digital network development, the efficiency has been greatly improved and the security has been greatly enhanced. As an indispensable part of digital security system, wireless video transmission technology has become a powerful tool for modern management.

QoE-Aware Scalable Video Transmission in MIMO Systems

An important concept in wireless systems has been QoE-aware video transmission. Such communications are considered not only connection- based communications but also content- aware communications, since the video quality is closely related to the content itself. It becomes necessary, therefore, for video communications to utilize a cross-layer design (also known as joint source and channel coding). To provide efficient methods of allocating network resources, the wireless network uses its cross-layer knowledge to perform UEP solutions. In this article, we summarize the latest video transmission technologies that are based on SVC over MIMO systems with cross-layer designs. To provide insight into video transmission in wireless networks, we investigate UEP solutions in the delivering of video over massive MIMO systems. Our results show that in terms of QoE, SVC layer prioritization, which was considered important in prior work, is not always beneficial in massive MIMO systems; consideration must be given to the content characteristics.

A Quality-of-Content-Based Joint Source and Channel Coding for Human Detections in a Mobile Surveillance Cloud

More than 70% of consumer mobile Internet traffic will be mobile video transmissions by 2019. The development of wireless video transmission technologies has been boosted by the rapidly increasing demand of video streaming applications. Although more and more videos are delivered for video analysis (e.g., object detection/tracking and action recognition), most existing wireless video transmission schemes are developed to optimize human perception quality and are suboptimal for video analysis. In mobile surveillance networks, a cloud server collects videos from multiple moving cameras and detects suspicious persons in all camera views. Camera mobility in smartphones or dash cameras implies that video is to be uploaded through bandwidth-limited and error-prone wireless networks, which may cause quality degradation of the decoded videos and jeopardize the performance of video analyses. In this paper, we propose an effective rate-allocation scheme for multiple moving cameras in order to improve human detection (content) performance. Therefore, the optimization criterion of the proposed rate-allocation scheme is driven by quality of content (QoC). Both video source coding and application layer forward error correction coding rates are jointly optimized. Moreover, the proposed rate-allocation problem is formulated as a convex optimization problem and can be efficiently solved by standard solvers. Many simulations using High Efficiency Video Coding standard compression of video sequences and the deformable part model object detector are carried, and results demonstrate the effectiveness and favorable performance of our proposed QoC-driven scheme under different pedestrian densities and wireless conditions.

Novel Approach to Estimate Missing Data Using Spatio-Temporal Estimation Method

With advancement of wireless technology and the processing power in mobile devices, every handheld device supports numerous video streaming applications. Generally, user datagram protocol (UDP) is used in video transmission technology which does not provide assured quality of service (QoS). Therefore, there is need for video post processing modules for error concealments. In this paper we propose one such algorithm to recover multiple lost blocks of data in video. The proposed algorithm is based on a combination of wavelet transform and spatio-temporal data estimation. We decomposed the frame with lost blocks using wavelet transform in low and high frequency bands. Then the approximate information (low frequency) of missing block is estimated using spatial smoothening and the details (high frequency) are added using bidirectional (temporal) predication of high frequency wavelet coefficients. Finally inverse wavelet transform is applied on modified wavelet coefficients to recover the frame. In proposed algorithm, we carry out an automatic estimation of missing block using spatio-temporal manner. Experiments are carried with different YUV and compressed domain streams. The experimental results show enhancement in PSNR as well as visual quality and cross verified by video quality metrics (VQM).

Stochastic stable buffer control for quality-adaptive HEVC video transmission in enterprise WLAN architectures

Transmission of high efficiency video coding (HEVC) video streams over error-prone enterprise wireless local area networks (WLAN) architectures is challenging because of the difficulties in buffer overflow management in the switches within enterprise WLAN architectures. Thus, this paper proposes a new quality-aware video transmission method for company-wide enterprise WLAN architectures by combining video transmission technologies with a distributed stochastic buffering model that jointly controls power consumption and queue stabilization. After conducting extensive simulations with HEVC test sequences, significant video quality improvements are observed with the average Y-PSNR gain of 3.33 dB.

The System Design of Wireless Video Transmission Based on PTZ Control

Along with the rapid expansion of automation, communication, the Internet of things technology, and video image processing technology, the wireless video transmission technology based on the embedded system is becoming increasingly more mature. In this paper, what has been designed and managed to be perfectly applied is a transmission system of high reliability and convenience which based on the technique of pan-tilt control and integrated the technology of wireless LAN, embedded technology, video transmission technology. The paper briefly introduces the research background of the system, current research status at home and abroad, the development trend and the significance of this design project. What is more is that the article goes through the hardware and software design of the pan-tilt control circuit and software of real-time video transmission in a detailed way. The biggest is that this project has made the real-time video transmission in the local area network came true and you can check the real-time dynamic video images by browsing the web through you mobile phone.

Highly Reliable 8K Video Transmission Technologies and Experiments over Global IP Networks

Highly Reliable 8K Video Transmission Technologies and Experiments over Global IP Networks

Design and Implementation of Tailings Dam Security Monitoring System

Combined with modern computer technology, network technology, image and Video transmission technology and GPS satellite positioning technology, the factors that affect the safety of tailings dam are given. In this paper, the author proposes solutions for tailings dam safety monitoring, designs a software structure which include visualization, automation and intelligent, discusses some critical technologies in this system. The security monitoring system of Fengshuigou tailings dam is developed, which offering a reference for researching and developing tailings dam security monitoring system.

Objective quality definition of scalable video coding and its application for optimal streaming of FGS-coded videos

With the proliferation of video contents widely distributed over the Internet and the progress of video coding (e.g., H.264/AVC) and transmission technologies, more challenges need to overcome in order to meet the requirements of all users with diverse terminals. Video streaming over IP and wireless becomes a popular issue since the new century. However, there is little work concerning the quantitative analysis on the objective quality of streaming videos. Thus a strict definition of the objective quality and quality variation of scalable video coding (SVC) is required, in order to efficiently transmit video contents over Internet and wireless and reach an attainable subjective quality perception for end-users. Since FGS (fine granularity scalability) video is coded in bit planes, its enhancing layer can be truncated arbitrarily, as a case study of scalable video coding, an objective quality definition for FGS-coded video is introduced in this paper, based on MSE (mean square error) and PSNR (peak signal-to-noise ratio). This definition can also be generalized to any layered scalable coding videos, such as the traditional layered videos in BL + ELs (base layer + enhancing layers) formats or H.264/AVC in BL + CGS (coarse granularity scalability) + FGS structures, and it can be applied to design optimal algorithms for video streaming. Furthermore, It can also be taken as a measure to assess the subjective quality of streaming videos, by incorporating user preferences and terminal capacities. According to this definition, a quality optimal problem of scene in video segments is formulated and solved using the state transfer graph and dynamic programming. The optimal transmission policy is also obtained and compared with a real-time transmission algorithm. Different aggregation levels (segmentation granularity) of video segments for optimal transmission are also examined by experimental data. Simulation results validate our observations.

Real-Time Full Motion Stereo Microscopy Over Internet

Abstract One of the problems with remote imaging which purports to represent the real world (Tele-presence) is that the images are two-dimensional and the “real” world is three dimensional. When viewing many objects, the lack of depth perceptiorican be a serious deficiency. For example, one would want a micro-surgeon to have a good idea how deep to cut into tissue during a tele-presence operation. There is a wealth of three dimensional information in light, SEM, AFM, confocal, and computer reconstructed or simulated objects. To transfer that information faithfully over the networks using broadcast quality high definition video transmission technologies such as MPEG2 may require as much as 20 Mbps per channel. Furthermore, stereo imaging is particularly sensitive to any phase delays and jitter between the two eye channels. Control of these parameters requires advance quality of service features that current internet does not provide, but that may be available on high-performance intranets. All this may present a problem for routine use of the stereo facility. The next generation of Internet, however, will be able to routinely provision much higher bandwidth and other quality of service, in general through protocols that will allow for not only full screen full resolution television but also the use of two channels (left and right) that can stay in fairly close synchrony.

Emerging Trends in Video Transmission Technology

(1996). Emerging Trends in Video Transmission Technology. IETE Technical Review: Vol. 13, No. 3, pp. 183-185.