scholarly journals METHOD OF EFFICIENT REPRESENTATION AND PROTECTION OF DYNAMIC OBJECTS IN VIDEO POTOTICS BASED ON THE TECHNOLOGY OF THEIR ROCKUM COMPENSATION

Author(s):  
Volodymyr V. Barannik ◽  
Mykola V. Dvorsky ◽  
Valeriy V. Barannik ◽  
Anton D. Sorokun

Recently, special attention at implementation of the necessary level of information security is given to wireless technologies. Their use contributes to the growing demand for video information services. This is accompanied by an increase in the intensity of video streams and an increase in the processing time of video information, resulting in them far beyond the bandwidth of networks. Consequently, there is a contradiction that is caused: on the one hand, the growth of requirements for the quality of video information; on the other hand, difficulties in providing services of the given quality using wireless technologies.The article deals with issues related to the speed of the video stream of video information, depending on the quality of video data required, from spatial resolution and frame rate. The article concludes that with the trend of increasing the amount of video information in the complexes of the Hellenic Republic - it is necessary to improve the coding methods. In order to increase the efficiency of management and operational activities, it is proposed to improve the existing methods of encoding dynamic video streaming object with algorithms for motion compensation for video conferencing in the system of troop control. As a result, the article proposes a six-point algorithm for search, which can increase the efficiency and reduce the processing time of video information between subscribers. This approach, in the future, by improving the existing methods for encoding dynamic video streaming objects with algorithms of motion compensation, will improve the efficiency of using videoconferencing, for example, in the control system of troops.

Author(s):  
Volodymyr Barannik ◽  
Mykola Dvorsky ◽  
Valeriy Barannik ◽  
Viktoria Himenko ◽  
Anton Sorokun

Videoconferencing gives us the opportunity to work and communicate in real time, as well as to use collective applications, interactive information exchange. Videoconferencing systems are one of the basic components of the organization of manegment, ensuring, the timeliness and necessary quality management of the implementation of objective control over the solution of the tasks. The quality of the image and the time of transmission of video information is unsatisfactory for the quality control of the troops. Considered ways to increase the efficiency of management and operational activities, due to methods of compensation of motion, using technology to reduce the volume of video data for quality improvement.


Connectivity ◽  
2020 ◽  
Vol 148 (6) ◽  
Author(s):  
Yu. I. Katkov ◽  
◽  
O. S. Zvenigorodsky ◽  
O. V. Zinchenko ◽  
V. V. Onyshchenko ◽  
...  

The article is devoted to the topical issue of finding new effective and improving existing widespread compression methods in order to reduce computational complexity and improve the quality of image-renewable image compression images, is important for the introduction of cloud technologies. The article presents a problem To increase the efficiency of cloud storage, it is necessary to determine methods for reducing the information redundancy of digital images by fractal compression of video content, to make recommendations on the possibilities of applying these methods to solve various practical problems. The necessity of storing high-quality video information in new HDTV formats 2k, 4k, 8k in cloud storage to meet the existing needs of users has been substantiated. It is shown that when processing and transmitting high quality video information there is a problem of reducing the redundancy of video data (image compression) provided that the desired image quality is preserved, restored by the user. It has been shown that in cloud storage the emergence of such a problem is historically due to the contradiction between consumer requirements for image quality and the necessary volumes and ways to reduce redundancy of video data, which are transmitted over communication channels and processed in data center servers. The solution to this problem is traditionally rooted in the search for effective technologies for compressing, archiving and compressing video information. An analysis of video compression methods and digital video compression technology has been performed, which reduces the amount of data used to represent the video stream. Approaches to image compression in cloud storage under conditions of preservation or a slight reduction in the amount of data that provide the user with the specified quality of the restored image are shown. Classification of special compression methods without loss and with information loss is provided. Based on the analysis, it is concluded that it is advisable to use special methods of compression with loss of information to store high quality video information in the new formats HDTV 2k, 4k, 8k in cloud storage. The application of video image processing and their encoding and compression on the basis of fractal image compression is substantiated. Recommendations for the implementation of these methods are given.


2021 ◽  
Vol 2 (14) ◽  
pp. 68-86
Author(s):  
Andrii Byts ◽  
Volodymyr Sokolov ◽  
Nataliia Mazur ◽  
Valerii Kozachok ◽  
Anatoly Bessalov

The article considers the problem of ensuring the availability and integrity of wireless subscribers in cellular and other wireless corporate networks. The article aims to determine the threshold values for the moment of failure of video transmission, quantitative parameters, artifacts, and the number of errors for the image. Show the dependence of the integrity of data transmitted in real-time on the characteristics of the environment. Two approaches were used to assess the quality of video information: qualitative (image recognition assessment) and quantitative (error measurement). Because the research program was written in the Kotlin programming language, a library written in Java or Kotlin was required. After searching the library, it turned out that only three libraries meet such parameters as reliability, relevance, and availability of documentation: Jaffree, Xuggler, and VLCJ. After gathering information, it was found that the most common screen extensions for desktops are 1366 × 768 and for phones—360 × 640. An error occurred that RTP did not support more than one connection. Also, the RTSP protocol could not pass the experiment on codecs other than MP4V. The experiment stopped earlier than necessary without error. Judging by the indicators, this was a very high CPU load. All other protocols were successfully tested, and results were obtained. During the experiments, we encountered various video anomalies. The worst was the video playback problem with the MJPG codec. Other anomalies were also identified: frame delay, incorrect frame rendering, white noise, and white noise mixed with frames. It is clear how up to 128 kbps experiments are successful and then begin to stop the video stream without error information. According to the results of experiments, the H.264 codec performs best.


Author(s):  
Natalia Mazur ◽  
Dariusz Nowak ◽  
Vasyl Zalizko

Due to the changes taking place in the environment of enterprises, many problems arise in their strategic and operational activities. The basis of the emerging problems is primarily the overproduction associated with short product life cycles. It contributes to the excessive use of various types of natural resources, often in a predatory manner. On the one hand, such an approach increases waste, and on the other, contributes to the destructive degradation of the environment. The result is a lack of food and water in some countries, climate change and related extreme weather phenomena, as well as various types of disasters, such as pandemics, fires, floods, droughts, etc. Water, air and land pollution as well as global warming are reflected in deteriorating quality of life. Despite many threats, more and more enterprises perceive the danger and undertake various types of adaptive projects. It should also be emphasized that the environmental awareness of both micro-enterprises and large corporations is growing. The purpose of this chapter is to introduce the reader to the basic problems that companies may encounter in their operations activity. First, changes in the environment are discussed, with particular emphasis on the depletion of natural resources, pollution of a destructive nature, as well as waste and its causes. The next part deals with the topic of globalization, pointing to both positive and negative aspects. Technical progress and related aspects such as new technologies, new processes and materials are discussed in the next part. In this part, particular attention is paid to improving productivity, thanks to the implementation of new technical solutions. Technical progress is directly related to the innovations presented in the next section. This section describes the types of innovation according to various criteria as well as factors that are conducive to increments in the level of innovation in the enterprise. The last part is devoted to the most important factor in operational activity—human esources. Competences, qualifications and the importance of human resources in the production process were discussed.


2021 ◽  
Vol 24 (4) ◽  
pp. 73-79
Author(s):  
Kirill Eduardovich Korepanov ◽  
Irina Alekseevna Kaisina ◽  
Roman Eduardovich Shibanov ◽  
Albert Vinerovich Abilov ◽  
Mohammed Amin Lamri

The paper presents the results of simulation of the process of video data transmission from an unmanned aerial vehicle (UAV) to a ground station using the IEEE 802.11 family standards (802.11n, 802.11ac and 802.11ax), with the ability to change modulation indices, coding schemes and data transfer rate in a network simulator NS-3. The aim of the work is to analyze the characteristics of the quality of video data transmission in the UAV network for various Wi-Fi standards, which allows determining the most suitable standard for the transmission of video data in the UAV network, depending on the distances between nodes and the required frequency band. A scenario is considered in which an unmanned aerial vehicle (UAV) hovering in the air was transmitting a video stream to a ground station, while the distance between nodes increased, and the transmission rate was maintained at the same level close to the transmission rate of the real video stream. The simulation was carried out in several stages for a more detailed study of the dependence of the packet loss of the transmitted data on the change in modulation indices, coding schemes and other parameters. Based on the simulation results, the characteristics of the video data transmission quality were obtained as a relation between the Packet delivery rate (PDR) and distance between nodes for different transmission parameters for each considered standard of the IEEE 802.11 family. Based on the results obtained, conclusions were drawn about the influence of transmission parameters on the quality of service characteristics. The study was carried out in an open-source network simulator NS-3, which implements build-in libraries that are necessary for high-quality simulation of data streaming transmission and allows you to set a wide range of parameters to obtain realistic results. The results of the work may be of interest to UAV manufacturers when planning missions in which the choice of Wi-Fi standard used as a channel for transmitting video data is crucial.


2011 ◽  
Vol 179-180 ◽  
pp. 243-248
Author(s):  
Fu Zheng Yang ◽  
Jia Run Song ◽  
Shu Ai Wan

In the paper a no-reference system for quality assessment of video streaming over RTP is proposed for monitoring the quality of networked video. The proposed system is composed of four modules, where the quality assessment module utilizes information extracted from the bit-stream by the modules of RTP header analysis, frame header analysis and display buffer simulation. Taking MPEG-4 encoded video stream over RTP as an example, the process of video quality assessment using the proposed system is described in this paper. The proposed system is featured by its high efficiency without sorting to the original video or video decoding, and therefore well suited for real-time networked video applications.


Author(s):  
Miloš Ljubojević ◽  
Vojkan Vasković ◽  
Zdenka Babić ◽  
Dušan Starčević

Abstract: An increasing number of services and facilities that are of interest to users is based on video streaming. Technical characteristics of video have a strong impact on the quality of a video streaming service and its perception by users. The most important measure of quality, which focuses on the user, is the Quality of Experience (QoE). Given that video advertising is a typical video streaming application, it is necessary to analyze the effect of the change of video characteristics on the QoE. This paper examines the impact of resolution and frame rate change on the QoE level by using objective and subjective QoE metrics. It also looks at the possibility of mapping the objective QoE metrics into subjective ones, if the QoE in Internet video advertising is analyzed. It was demonstrated that the values obtained by the objective assessment of quality can be mapped to the results obtained by subjective assessment of quality when the quality of experience of linear in- stream video ads is analyzed. The results indicate that temporal aspects of video quality assessment, e.g. influence of resolution and frame rate change to the level of the QoE, can be achieved by implementation of objective methods. Therefore, quality of experience can be improved by the proper selection of video characteristics values.


2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yu Su ◽  
Shuijie Wang ◽  
Qianqian Cheng ◽  
Yuhe Qiu

AbstractWith regard to video streaming services under wireless networks, how to improve the quality of experience (QoE) has always been a challenging task. Especially after the arrival of the 5G era, more attention has been paid to analyze the experience quality of video streaming in more complex network scenarios (such as 5G-powered drone video transmission). Insufficient buffer in the video stream transmission process will cause the playback to freeze [1]. In order to cope with this defect, this paper proposes a buffer starvation evaluation model based on deep learning and a video stream scheduling model based on reinforcement learning. This approach uses the method of machine learning to extract the correlation between the buffer starvation probability distribution and the traffic load, thereby obtaining the explicit evaluation results of buffer starvation events and a series of resource allocation strategies that optimize long-term QoE. In order to deal with the noise problem caused by the random environment, the model introduces an internal reward mechanism in the scheduling process, so that the agent can fully explore the environment. Experiments have proved that our framework can effectively evaluate and improve the video service quality of 5G-powered UAV.


Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Gitte Linderoth ◽  
Oscar Rosenkrantz ◽  
Freddy Lippert ◽  
Doris Oestergaard ◽  
Annette K Ersbøll ◽  
...  

Introduction: Good quality of cardiopulmonary resuscitation (CPR) provided by bystanders is important for the outcome in out-of-hospital cardiac arrest (OHCA). A live video stream from the bystander’s smartphone to the medical dispatcher might improve the quality of chest compressions performed during CPR. Methods: At the Copenhagen Emergency Medical Services in Denmark, the medical dispatcher can add a live video to the emergency call. In case of OHCA, the medical dispatcher guides bystanders in dispatcher-assisted CPR (DA-CPR). After initiating chest compressions, the medical dispatcher can add live video streaming. A cohort study was conducted with an evaluation of performed chest compressions from the video footage before and after the dispatcher used the video to instruct CPR (video-instructed DA-CPR). Correct chest compressions were defined according to European Resuscitation Council Guidelines. Results: CPR was provided with a live video stream in 52 OHCA calls, in which 90 bystanders performed chest compressions. Thirty OHCA occurred at a public location, and more than four bystanders were present in 32 (62%) cases. In 26 cases, chest compressions were performed by more than one bystander. Eight (9%) bystanders performed correct chest compressions before video-instructed DA-CPR. For the bystanders first initiating insufficient CPR improvements were observed for: hand placement 58% (n=17/29), compressions rate 73% (n=17/21), and compressions depth 62% (n=19/31) following video-instructed DA-CPR. For the second bystander providing CPR (n=26) improvements were still observed for: hand placement 57% (n=4/7), compressions rate 73% (N=8/11), and compressions depth 53% (n=11/21) following video-instructed DA-CPR. For the third and fourth bystander (n=10), providing CPR improvements were seen for: hand placement 100% (n=2/2), compressions rate 50 % (n=2/4), and compressions depth 60% (n=3/5). Eighteen bystanders had a chest compressions performance measurement that could not be observed. Conclusions: A live video from the bystander`s smartphone to the medical dispatcher could improve the quality of chest compressions in CPR, and guidance seems important not just for the first bystander but for all bystanders performing CPR.


2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Peng Liu ◽  
Jongwon Yoon ◽  
Ha Ryung Kim ◽  
Suman Banerjee

Video streaming is one of the killer applications in recent years. Video transcoding plays an important role in the video streaming service to cope with the various purposes. Specifically, content owners and publishers heavily utilize video transcoders to reconfigure source video in a variety of formats, video qualities, and bitrate to provide end users with the best possible quality of service. In this paper, we present VideoCoreCluster, a low-cost and energy-efficient transcoder cluster that is suitable for live streaming services. We designed and implemented real-time video transcoder cluster using cheap ($35), powerful, and energy-efficient Raspberry Pi. The quality of transcoded video provided by VideoCoreCluster is similar to the best software-based video transcoder while consuming significantly less energy (<3 W). We have proposed a scheduling algorithm based on priority of video stream and transcoding capacity. Our cluster manager provides reliable and scalable streaming services, because it uses the characteristics of adaptive bitrate scheme. We have deployed our transcoding cluster to provide IP-based TV streaming services on our university campus.


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