Video Transmission Research Articles

Can Coding Education Go Completely Online? Time, Work, and Relationship in Online Courses

The emergence of online teaching has brought new opportunities to computer coding education. In this paper, we examine how the move online is generating a new kind of dynamic within computer programming classes on an online EdTech platform in South Korea. As the platform seeks to solve some old problems within large-scale programming classes, such as machine dependency and labor-intensive operation, its online classes face unique challenges arising from temporal and spatial separation. The new environment requires that class participants coordinate their actions and relationships with other members, which means technical adjustments and human adaptations. Instructors, students, and managers form a distinctive three-party relationship as they respond to the tricky problems of online teaching, such as the time delay between audio and video transmission. The automation of evaluation labor by the platform also influences the human relationship as well as educational efficiency. Our study suggests that the most challenging task in online EdTech experiments would not be to move classes online completely, but to rearrange roles, identities, and relationships within the class.

Machine Learning Assisted Cross-Layer Joint Optimal Subcarrier and Power Allocation for Device-to-Device Video Transmission

Machine Learning Assisted Cross-Layer Joint Optimal Subcarrier and Power Allocation for Device-to-Device Video Transmission

A Long-Term-Planning Learning Strategy to Coordinate Viewport Prediction and Video Transmission in 360° Video Streaming

A Long-Term-Planning Learning Strategy to Coordinate Viewport Prediction and Video Transmission in 360° Video Streaming

Joint Content Caching, Recommendation, and Transmission for Layered Scalable Videos Over Dynamic Cellular Networks: A Dueling Deep Q-Learning Approach

Joint Content Caching, Recommendation, and Transmission for Layered Scalable Videos Over Dynamic Cellular Networks: A Dueling Deep Q-Learning Approach

Research on basketball training health smart monitoring system based on picture sequence analysis

Abstract At present, exercises have become a frequent international competitive exchange activity. To some extent, a country's exercise level also measures the country's comprehensive economic strength. The holding of various international and domestic exercise events directly leads to the explosive increase of exercise videos digital. Therefore, efficient exercise video analysis is necessary. With the expansion of multimedia techniques and the emergence of message highways, the storage and transmission of digital video is no longer a difficult thing. The holding of different exercise events directly leads to the explosive increase of exercise videos. Therefore, efficient exercise video analysis is very necessary. Computer techniques have injected new vitality into most industries, but their expansion in the exercise industry is relatively slow. The means used in this paper is picture sequence analysis. The basic operation of sequence picture analysis is to detect motion messages or aims from picture sequences. It is a very active branch of picture courseing and computer sight. Because it has been widely used in many aspects of national eco and military, its research has attracted the general concentration of scientists all over the world.

Paper] A Cache Decision Policy for QoE Enhancement of Video and Audio Transmission over ICN/CCN

Paper] A Cache Decision Policy for QoE Enhancement of Video and Audio Transmission over ICN/CCN

Radio Resource Allocation Using Multi-AP Coordination Considering Requirements for Video Transmission in Wireless LAN system

Radio Resource Allocation Using Multi-AP Coordination Considering Requirements for Video Transmission in Wireless LAN system

Improving the QoE of Real-time Video Transmission: A Deep Lossy Transmission Paradigm

Improving the QoE of Real-time Video Transmission: A Deep Lossy Transmission Paradigm

Assessment of Optimization Parameters for Video Transmission over Optical Fiber using an H265/HEVC Encoder in Video Streaming Applications

Assessment of Optimization Parameters for Video Transmission over Optical Fiber using an H265/HEVC Encoder in Video Streaming Applications

A contrast sensitivity model of the human visual system in modern conditions for presenting video content.

Digital video incurs many distortions during processing, compression, storage, and transmission, which can reduce perceived video quality. Developing adaptive video transmission methods that provide increased bandwidth and reduced storage space while preserving visual quality requires quality metrics that accurately describe how people perceive distortion. A severe problem for developing new video quality metrics is the limited data on how the early human visual system simultaneously processes spatial and temporal information. The problem is exacerbated by the fact that the few data collected in the middle of the last century do not consider current display equipment and are subject to medical intervention during collection, which does not guarantee a proper description of the conditions under which media content is currently consumed. In this paper, the 27840 thresholds of the visibility of spatio-temporal sinusoidal variations necessary to determine the artefacts that a human perceives were measured by a new method using different spatial sizes and temporal modulation rates. A multidimensional model of human contrast sensitivity in modern conditions of video content presentation is proposed based on new large-scale data obtained during the experiment. We demonstrate that the presented visibility model has a distinct advantage in predicting subjective video quality by testing with video quality metrics and including our and other visibility models against three publicly available video datasets.

Efficient UAVs Deployment and Resource Allocation in UAV-Relay Assisted Public Safety Networks for Video Transmission

Efficient UAVs Deployment and Resource Allocation in UAV-Relay Assisted Public Safety Networks for Video Transmission

Pattern Reduction for Low-Traffic Speculative Video Transmission in Cloud Gaming System

Pattern Reduction for Low-Traffic Speculative Video Transmission in Cloud Gaming System

A portable microfluidic device for thermally controlled granular sample manipulation.

Effective granular sample manipulation with a portable and visualizable microfluidic device is significant for lots of applications, such as point-of-care testing and cargo delivery. Herein, we report a portable microfluidic device for controlled particle focusing, migration and double-emulsion droplet release via thermal fields. The device mainly contains a microfluidic chip, a microcontroller with a DC voltage control unit, a built-in microscope with a video transmission unit and a smartphone. Five microheaters located at the bottom of the microfluidic chip are used to unevenly heat fluids and then induce thermal buoyancy flow and a thermocapillary effect, and the experiments can be conveniently visualized through a smartphone, which provides convenient sample detection in outdoor environments. To demonstrate the feasibility and multifunctionality of this device, the focusing manipulation of multiple particles is first analyzed by using silica particles and yeast cells as experimental samples. We can directly observe the particle focusing states on the screen of a smartphone, and the particle focusing efficiency can be flexibly tuned by changing the control voltage of the microheater. Then the study focus is transferred to single-particle migration. By changing the voltage combinations applied on four strip microheaters, the single particle can migrate at predetermined trajectory and speed, showing attractiveness for those applications needing sample transportation. Finally, we manipulate the special three-phase flow system of double-emulsion drops in thermal fields. Under the combined effect of the thermocapillary effect and increased instability, the shell of double-emulsion droplets gradually thins and finally breaks, resulting in the release of samples in inner cores. The core release speed can also be flexibly adjusted by changing the control voltage of the microheater. These three experiments successfully demonstrate the effectiveness and multifunctionality of this thermally actuated microfluidic device on granular manipulation. Therefore, this portable microfluidic device will be promising for lots of applications, such as analytical detection, microrobot actuation and cargo release.

Real-Time Implementation of a Cognitive Radio Node for Video Transmission with Dynamic Channel Selection

This paper endeavors to exploit the extent to which the radio spectrum can be utilized by almagating and enhancing various methods proposed by previous researchers in the field. Cognitive radio research addresses the challenge of spectrum scarcity and underutilization through cognitive radio technology. The realm of cognitive radio research encompasses diverse aspects of its architecture, ranging from spectrum sensing to higher-level strategies. Notably, the navigation strategy employed by cognitive radios constitutes a pivotal layer in these implementations. Thus, this paper focuses on the real-time implementation of a cognitive radio node in a spectrum of licensed users. Leveraging the capabilities of software-defined radios, GNU Radio, GStreamer and Ubuntu OS computers, this investigation introduces a streamlined channel strategy. This strategy uses both short-term and long-term historical data, along with a buffering mechanism, to facilitate the real-time transmission of a high-definition video signal. The successful implementation of this system yields a promising enhancement of approximately 32% in radio resource utilization. Furthermore, the sensing time of the cognitive radio experiences a significant reduction. This research contributes to the advancement of cognitive radio technology and demonstrates the consolidated strategies' practical implications, underscoring their potential to overcome spectrum-related challenges.

Future Hybrid Technology for Pay TV Platform

The main objective of this study is to analyze the potentiality of new technology of TV broadcasting and video distribution systems and how to adapt to the new trend of video viewing experience and design a future generation TV for the Bangladesh Pay TV industry. This research is based on Bangladesh and the interest of Bangladesh's Pay-TV industry delves into a novel approach aimed at mitigating these challenges by harnessing terrestrial or mobile networks for video broadcasting, thereby upgrading the old-fashioned broadcasting system or diminishing reliance on conventional internet-based streaming for mobile. This study adapts to the latest practice and implementation of ATSC 3.0 Terrestrial broadcasting and video streaming technology enhancement and business success along with emerging 5G network feasibility. ATSC 3.0 terrestrial broadcasting for mobile users has a significant impact on view experience, and seamless video transmission without the usage of internet data, especially in rural areas of the country where the 4G network is very limited. Local Gateway Node will receive ATSC 3.0 live TV and locally added offline video or streaming apps injected through API to deliver household through private CDN. This study offers a comprehensive technical feasibility, benefits, and implications of this innovative approach, upgradation of terrestrial broadcasting system highlighting its potential to revolutionize video delivery to mobile users. This study analyzes the technology evolution and adaptability with the recent trend of video content viewing experience, the importance of this study is significant for Bangladesh's pay-TV market to secure the future business.

Comparative Analysis of Telepresence Robots’ Video Performance: Evaluating Camera Capabilities for Remote Teaching and Learning

The COVID-19 outbreak demonstrated the viability of various remote working solutions, telepresence robots (TPRs) being one of them. High-quality video transmission is one of the cornerstones of using such solutions, as most of the information about the environment is acquired through vision. This study aims to compare the camera capabilities of four models of popular telepresence robots using compact reduced LogMAR and Snellen optometry charts as well as text displayed on a projector screen. The symbols from the images are extracted using the Google Vision OCR (Optical Character Recognition) software, and the results of the recognition are compared with the symbols on the charts. Double 3 TPR provides the best quality images of optometric charts, but the OCR results of measurements of the image on the projector do not show the clear advantage of one single model over the others. The results demonstrated by Temi 2 and Double 3 TPRs are generally better than the others, suggesting that these TPRs are more feasible to be used in teaching and learning scenarios.

From the History of the Development of Russian Space Television

The article examines the activities for the development of the space television system in Russia. The date of birth of the national space television is October 7, 1959. It is the day of the beginning of the radio and television transmission of images of the far side of the Moon to Earth. In 1971, the international satellite communication and broadcasting system Intersputnik was created in the USSR. Soon after the beginning of its development, the control of the Earth from space for the purposes of space surveillance and aerospace defense became an important function of space television.

OJUMP: Optimization for joint unicast‐multicast panoramic VR live streaming system

AbstractVirtual reality (VR) videos have garnered increasing attention due to their ability to deliver immersive multimedia experiences to users. Nonetheless, the demanding requirements of high bandwidth and low latency for VR services present significant challenges, especially in the context of network infrastructure. In this article, we introduce a novel system called OJUMP, aimed at Optimizing the transmission and distribution of Joint Unicast‐Multicast Panoramic video field of view live streaming using Bit Index Explicit Replication (BIER). The proposed system encompasses a BIER‐based network transmission approach that enhances video transmission efficiency and facilitates large‐scale service deployment. Furthermore, OJUMP includes a dynamic disk‐state‐based tile slice distribution storage algorithm and a prefetch method designed for edge nodes to enhance the distribution efficiency of live streaming services. Experimental results illustrate that the proposed system offers distinct advantages over the baseline system in terms of bandwidth, latency, disk utilization, and central processing unit utilization.

Optimization of the solar energy storage capacity for a monitoring UAV

Unmanned aerial vehicles integrate propulsion systems, communication modules, and sensors, allowing an operator to perform autonomous or remote-controlled flight actions. UAVs provide important advantages for exploring remote locations due to their cost-effectiveness and versatility compared to manned aircraft. However, addressing safety and flight autonomy challenges remains necessary. This paper analyzes and proposes the integration of a photovoltaic solar system to power UAV devices. Through a brief analysis of the aerodynamic model and the wing profile, a consolidation of the solar cells has been achieved without compromising efficiency in-flight maneuvers. Furthermore, an analysis is conducted on the potential of using photovoltaic solar resources in fixed-wing aircraft. The research aims to determine the optimal wing surface area required for video surveillance applications. The current model under discussion is a glider-type system that incorporates two distinct systems, one for video transmission and the other for telemetry data acquisition. An analysis of the battery charge and discharge pattern was carried out using computer simulation tools. This analysis aimed to optimize the battery charging process by integrating photovoltaic cells. The results and conclusions of the tests are described in the final section of the paper.

Performance Evaluation of AVC and HEVC for E-Learning: Optimizing Quality and Reducing Bandwidth Usage

E-learning has experienced a surge in popularity, particularly during and after the COVID-19 pandemic. Online learning has proven to be a vital tool for students and educators to continue academic activities while adhering to social distancing guidelines and during the times of natural disasters that disrupt the conventional learning environments. It also offers accessibility to disabled students and those facing challenges to reach to the traditional learning. But due to increased demand, it is crucial to optimize cost of transmission while minimizing bandwidth usage while maintaining high-quality video transmission. To optimize cost and reduce network load, it is essential to minimize bandwidth usage while maintaining high-quality video. In response to this need, we present a novel dataset consisting of four e-learning scenarios. We encoded this dataset using various resolutions, bit rates, and encoder presets, and evaluated it in terms of encoding time, and quality using full-reference objective quality metrics such as MSE, PSNR, and SSIM. After experimenting with more than 1400 videos and configurations of encoders and codecs, we found out that it is possible to transmit videos in exceptional quality at bitrates as low as 5 Mbps for e-learning scenarios. We also present detailed results about correlation between file size, quality and encoding time to make optimizations for specific bandwidth, target quality or encoding speed.