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Journal articles on the topic 'Video streaming applications'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Hero, Wintolo, Kusumaningrum Anggraini, and Widya Kusuma Handoko. "Use of Automation Codecs Streaming Video Applications Based on Cloud Computing." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 3 (2017): 1409–15. https://doi.org/10.12928/TELKOMNIKA.v15i3.2810.

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Streaming technology is currently experiencing a great progress. Faster internet more users streaming. Streaming services that exist today there are still weaknesses in both the upload speed, streaming speed and limited types of video extensions that can be played. To resolve these problems then made a video streaming service based local area network with a system of cloud computing that can work effectively in terms of upload speeds, streaming and variations in video formats. Video streaming application is classified as a service IaaS (Infrastructure as a Service Cloud) in cloud computing. On

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Gazdar, Achraf, Lotfi Hidri, Belgacem Ben Youssef, and Meriam Kefi. "Minimizing the In-Cloud Bandwidth for On-Demand Reactive and Proactive Streaming Applications." Applied Sciences 11, no. 23 (2021): 11267. http://dx.doi.org/10.3390/app112311267.

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Video streaming services are one of the most resource-consuming applications on the Internet. Thus, minimizing the consumed resources at runtime in general and the server/network bandwidth in particular are still challenging for researchers. Currently, most streaming techniques used on the Internet open one stream per client request, which makes the consumed bandwidth increases linearly. Hence, many broadcasting/streaming protocols have been proposed in the literature to minimize the streaming bandwidth. These protocols can be divided into two main categories, namely, reactive and proactive br

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Sharmila, K., and M. Vijayaraj. "Robust Diffusion of Video Using Streaming Urban Video in VANET’S." Asian Journal of Computer Science and Technology 1, no. 1 (2012): 135–38. http://dx.doi.org/10.51983/ajcst-2012.1.1.1690.

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Vehicular ad hoc network is not efficient to support the transformation process of multimedia streaming. Broadcast and Multicast in adhoc network facing the problem of highly dynamic topology of Vehicular network and the strict delay requirements of streaming application. Inter vehicular communications called Streaming Urban Video, which is fully distributed and dynamically adapts to topology changes, and leverages the characteristics of streaming applications to yield a highly efficient, cross-layer solution.

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Pao, I. M., and Ming-Ting Sun. "Encoding stored video for streaming applications." IEEE Transactions on Circuits and Systems for Video Technology 11, no. 2 (2001): 199–209. http://dx.doi.org/10.1109/76.905985.

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Huang, Chenn-Jung, Hao-Wen Cheng, Yi-Hung Lien, and Mei-En Jian. "A Survey on Video Streaming for Next-Generation Vehicular Networks." Electronics 13, no. 3 (2024): 649. http://dx.doi.org/10.3390/electronics13030649.

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As assisted driving technology advances and vehicle entertainment systems rapidly develop, future vehicles will become mobile cinemas, where passengers can use various multimedia applications in the car. In recent years, the progress in multimedia technology has given rise to immersive video experiences. In addition to conventional 2D videos, 360° videos are gaining popularity, and volumetric videos, which can offer users a better immersive experience, have been discussed. However, these applications place high demands on network capabilities, leading to a dependence on next-generation wireles

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PAWAR, RAVI, and DR RAVI SHANKAR SHARMA. "Facial Recognition Using Video Streaming." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 11 (2024): 1–7. http://dx.doi.org/10.55041/ijsrem39128.

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Facial recognition has become an essential technology in numerous applications, including security, surveillance, and human-computer interaction. With the advent of real-time video streaming, facial recognition systems are now tasked with handling the continuous flow of visual data. This paper explores the integration of facial recognition algorithms into video streaming systems, investigating the challenges, methodologies, and applications of real-time face detection and identification. We present a framework for implementing facial recognition in live video streams, assess the performance of

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Ratnawati, Ratnawati, Rosmiaty Rosmiaty, Lusy Angraeni, Andi Muhammad Fikri, and Yuriatson Yuriatson. "The Influence of 'Ome TV': Exploring the Impact on Students' Listening Skills through Video Live Streaming." Tamaddun 22, no. 1 (2023): 75–84. http://dx.doi.org/10.33096/tamaddun.v22i1.310.

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This quantitative research study investigates the influence of the video live streaming application 'Ome TV' on students' listening skills. Undergraduate students from a vocational university in Makassar, Indonesia participated in the study, which utilized an online questionnaire to collect data on participants' listening abilities and their experiences with 'Ome TV'. The study aims to investigate the influence of 'Ome TV' on students' listening skills, identify challenges faced by students in using the application for listening practice, understand students' perceptions of the application's e

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Abdulazeez, Hiba K., and Nasser N. Khamiss. "AN EFFICIENT ADAPTATION OF UHD VIDEO STREAMING OVER INTERNET." Iraqi Journal of Information and Communications Technology 1, no. 1 (2021): 121–33. http://dx.doi.org/10.31987/ijict.1.1.154.

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The main challenge of multimedia applications is how to transmission the Ultra-High Definition (UHD) video streaming in real time over the internet. The real time video streaming suffer from difficulties to be flexible and efficiency cause the wide variation of the available internet bandwidth. To avoid the problems that introduces with internet, in this work the HEVC with required video network adaptive streaming are proposed and tested using different six levels of three UHD video (4K, FHD, 720p, 4CIF, CIF and QCIF). From different experiments that applied find the optimal configuration of H

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.M, Resmi A., and R. Manicka Chezian. "Lightweight Authentication Scheme for Live Video Streaming Security." International Journal of Emerging Research in Management and Technology 6, no. 7 (2018): 93. http://dx.doi.org/10.23956/ijermt.v6i7.191.

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The majority of the traffic in the internet is dedicated to video streaming and its applications. Content Network Networks are good enough in live video streaming. But, implementing live video streaming is not an easy task. Delivery of live video streams can be complicated because of the variety of platforms, network types and streaming formats competing in today's online media services. Every user’s expecting reliable high quality performance with data availability using heterogeneous choices. And it is now tougher than ever to ensure an agreeable, problem less viewing experience on live stre

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Oliveira, Eva, Teresa Chambel, and Nuno Magalhães Ribeiro. "Sharing Video Emotional Information in the Web." International Journal of Web Portals 5, no. 3 (2013): 19–39. http://dx.doi.org/10.4018/ijwp.2013070102.

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Video growth over the Internet changed the way users search, browse and view video content. Watching movies over the Internet is increasing and becoming a pastime. The possibility of streaming Internet content to TV, advances in video compression techniques and video streaming have turned this recent modality of watching movies easy and doable. Web portals as a worldwide mean of multimedia data access need to have their contents properly classified in order to meet users’ needs and expectations. The authors propose a set of semantic descriptors based on both user physiological signals, capture

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Grosky, W. "Pushing Streaming Video." IEEE Multimedia 4, no. 4 (1997): 6. http://dx.doi.org/10.1109/mmul.1997.641871.

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BOUTABIA, Mohammed, Luis Rojas CARDENAS, and Hossam AFIFI. "SESSAMO: Session Mobility for Video Streaming Applications." International Journal of UbiComp 2, no. 2 (2011): 41–56. http://dx.doi.org/10.5121/iju.2011.2204.

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Luna, C. E., L. P. Kondi, and A. K. Katsaggelos. "Maximizing user utility in video streaming applications." IEEE Transactions on Circuits and Systems for Video Technology 13, no. 2 (2003): 141–48. http://dx.doi.org/10.1109/tcsvt.2002.808439.

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Ojo, Oluwafolake, Morenikeji Kareem, Ibrahim K. OGUNDOYIN, Olufunke Oyinloye, and Oluwapelumi Ikumpayi. "Stegovideo: An Efficient Mechanism for Securing Video Data Using Steganography and Cryptography Techniques." Journal of Science and Technology (Ghana) 42, no. 2 (2024): 50–63. https://doi.org/10.4314/just.v42i2.4.

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The COVID-19 pandemic episodes have rapidly expanded multimedia systems utilization across the globe. Nowadays, practically all companies and educational systems rely predominantly on streaming platforms. Owing to the popularity of online streaming; it is crucial to secure video. Although, a few techniques have been deployed to guarantee secured video transmission. Nonetheless, the recent usage of video applications due to the pandemic poses more security risks such as losing sensitive video content to intruders. In this paper, a hybrid framework (named Stego Video) is proposed for securing vi

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Mohammed, Mohammed, and Mohammed Yousif. "Improving Video Streaming Quality and Network Efficiency through Data Distribution Services." Fusion: Practice and Applications 19, no. 1 (2025): 97–107. https://doi.org/10.54216/fpa.190109.

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Lately, handling big data has become challenging due to its large size and complexity. To address scalability, availability, real-time performance, flexibility, and various Quality of Service (QoS) characteristics, Data Distribution Services (DDS) middleware offers extensive integration with mission-critical, real-time, and high-performance networks. Unlike traditional client-server communication models, Data Distribution Services rely on a publishsubscribe communication model. DDS enhances the quality of video streaming through its efficient data delivery approach. On internet protocols, a si

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Liu, Cunping. "Video Frequency Current Media Technology and Its Applications in Colleges and Universities." Electronics Science Technology and Application 1, no. 1 (2014): 15. http://dx.doi.org/10.18686/esta.v1i1.4.

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<p>Dealing with video materials with current media has unparalleled advantages over tradition audio-video materials. The combination of technology with campus network has wide application in colleges and universities. Streaming media has a high transfer rate, data synchronization, high stability characteristics, is the best way to achieve network audio and video transmission. A large number of video and audio data transmission is the main campus network applications, video streaming technology is mainly used in colleges and universities.</p>

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Shilpa, Bagade, Budati Anil Kumar, and L. Koteswara Rao. "Optimized Visual Internet of Things in Video Processing for Video Streaming." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 5s (2023): 362–69. http://dx.doi.org/10.17762/ijritcc.v11i5s.7045.

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The global expansion of the Visual Internet of Things (VIoT) has enabled various new applications during the last decade through the interconnection of a wide range of devices and sensors.Frame freezing and buffering are the major artefacts in broad area of multimedia networking applications occurring due to significant packet loss and network congestion. Numerous studies have been carried out in order to understand the impact of packet loss on QoE for a wide range of applications. This paper improves the video streaming quality by using the proposed framework Lossy Video Transmission (LVT) fo

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Nafeh, Majd, Arash Bozorgchenani, and Daniele Tarchi. "Joint Scalable Video Coding and Transcoding Solutions for Fog-Computing-Assisted DASH Video Applications." Future Internet 14, no. 9 (2022): 268. http://dx.doi.org/10.3390/fi14090268.

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Video streaming solutions have increased their importance in the last decade, enabling video on demand (VoD) services. Among several innovative services, 5G and Beyond 5G (B5G) systems consider the possibility of providing VoD-based solutions for surveillance applications, citizen information and e-tourism applications, to name a few. Although the majority of the implemented solutions resort to a centralized cloud-based approach, the interest in edge/fog-based approaches is increasing. Fog-based VoD services result in fulfilling the stringent low-latency requirement of 5G and B5G networks. In

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Izima, Obinna, Ruairí de Fréin, and Ali Malik. "A Survey of Machine Learning Techniques for Video Quality Prediction from Quality of Delivery Metrics." Electronics 10, no. 22 (2021): 2851. http://dx.doi.org/10.3390/electronics10222851.

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A growing number of video streaming networks are incorporating machine learning (ML) applications. The growth of video streaming services places enormous pressure on network and video content providers who need to proactively maintain high levels of video quality. ML has been applied to predict the quality of video streams. Quality of delivery (QoD) measurements, which capture the end-to-end performances of network services, have been leveraged in video quality prediction. The drive for end-to-end encryption, for privacy and digital rights management, has brought about a lack of visibility for

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Gualdi, Giovanni, Andrea Prati, and Rita Cucchiara. "Video Streaming for Mobile Video Surveillance." IEEE Transactions on Multimedia 10, no. 6 (2008): 1142–54. http://dx.doi.org/10.1109/tmm.2008.2001378.

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21

Koffka, Khan. "A Taxonomy for Deep Learning in Dynamic Adaptive Video Streaming Over HTTP." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 06, no. 05 (2023): 2324–32. https://doi.org/10.5281/zenodo.7990498.

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Deep Learning (DL) has become a fundamental technology in the field of Dynamic Adaptive Video Streaming over HTTP (DASH), enabling significant advancements in video streaming systems. This taxonomy presents a novel framework for categorizing and organizing the diverse applications and methodologies of DL in DASH. The taxonomy encompasses various aspects of DL, including video representation, quality of experience (QoE) estimation, bitrate adaptation, buffer management, content- and context-aware adaptation, and network optimization. By providing a comprehensive overview of DL in DASH, this tax

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Setyawan, Ryan Ari, and Yumarlin MZ. "DAMPAK PENGARUH PENGGUNAAN APLIKASI VIDEO LIVE STREAMING DI SMARTPHONE PADA KALANGAN PELAJAR." Jurnal Informatika Komputer, Bisnis dan Manajemen 17, no. 2 (2023): 1–10. http://dx.doi.org/10.61805/fahma.v17i2.92.

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This study aims to determine the effect of using live streaming video applications that are currently popularly used by students. Live streaming video application itself is a video sharing application that is broadcast live and real time so that users can broadcast what activities are done and can be watched by everyone who has the same application and account. For interaction users can make two-way video calls with other users or interactions through the chat service provided. These applications are in the market such as Bigolive, Live.me, Ome.tv, Instagram live and others. This research was

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Liu, Yan, Xinheng Wang, and Liqiang Zhao. "Scalable Video Streaming in Wireless Mesh Networks for Education." International Journal of Distance Education Technologies 9, no. 1 (2011): 1–20. http://dx.doi.org/10.4018/jdet.2011010101.

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In this paper, a video streaming system for education based on a wireless mesh network is proposed. A wireless mesh network is a self-organizing, self-managing and reliable intelligent network, which allows educators to deploy a network quickly. Video streaming plays an important role in this system for multimedia data transmission. This new system adopts the scalable video coding scheme that enables the video server to deliver layered videos to different user groups. In addition, a quality control method was developed to automatically change the output data rate based on network conditions. R

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Huang, Chenn-Jung, Kai-Wen Hu, Mei-En Jian, Yi-Hung Lien, and Hao-Wen Cheng. "Supporting Immersive Video Streaming via V2X Communication." Electronics 13, no. 14 (2024): 2796. http://dx.doi.org/10.3390/electronics13142796.

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With the rapid advancement of autonomous driving and network technologies, future vehicles will function as network nodes, facilitating information transmission. Concurrently, in-vehicle entertainment systems will undergo substantial enhancements. Beyond traditional broadcasting and video playback, future systems will integrate immersive applications featuring 360-degree views and six degrees of freedom (6DoF) capabilities. As autonomous driving technology matures, vehicle passengers will be able to engage in a broader range of entertainment activities while on the move. However, this evolutio

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Bingöl, Gülnaziye. "Sustainability vs. Quality of Experience: Striking the Right Balance for Video Streaming." ACM SIGMultimedia Records 15, no. 2 (2023): 1. https://doi.org/10.1145/3708973.3708975.

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The exponential growth in internet data traffic, driven by the widespread use of video streaming applications, has resulted in increased energy consumption and carbon emissions. This outcome is primarily due to higher resolution or higher framerates content and the ability to watch videos on various end-devices. However, efforts to reduce energy consumption in video streaming services may have unintended consequences on users' Quality of Experience (QoE). This column delves into the intricate relationship between QoE and energy consumption, considering the impact of different bit rates on end-

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Liu, Peng, Jongwon Yoon, Ha Ryung Kim, and Suman Banerjee. "VideoCoreCluster: Energy-Efficient, Low-Cost, and Hardware-Assisted Video Transcoding System." Wireless Communications and Mobile Computing 2018 (June 5, 2018): 1–13. http://dx.doi.org/10.1155/2018/7470234.

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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 clust

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Patel, Ujas, Sudeep Tanwar, and Anuja Nair. "Performance Analysis of Video On-demand and Live Video Streaming using Cloud based Services." Scalable Computing: Practice and Experience 21, no. 3 (2020): 479–96. http://dx.doi.org/10.12694/scpe.v21i3.1764.

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The advent of Cyber-Physical Systems (CPS) has brought a revolutionary change coined as a mixture of information, communication, computation, and control. With applications in smart grid, health monitoring, automatic avionics, distributed robotics, etc., CPS is currently an area of attention among the academia and industry. The advancement of mobile communications and embedded technology has made it possible to build large scale CPS consisting of the interconnection of mobile phones. These devices collect information about the surrounding environment at any time anywhere basis through real-tim

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Kirubha, D., Sathishkumar V. E., Baiju B. V., Maheshwari V., and Prasanna M. "An integrated functionality framework for robust video streaming heterogeneous networks." Applied and Computational Engineering 6, no. 1 (2023): 1408–13. http://dx.doi.org/10.54254/2755-2721/6/20230850.

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Video streaming is one of the drastically growing applications and more researchers are focused on their researchers in same. All over the world, the cost of video streaming process is increased up to 37$ billion. Even though video streaming process meets various problems like time, Bit Rate Error (BER) and buffers usage with cost. To provide solution to the above issues, this paper proposed an integrated framework to provide a video streaming method by increased Quality of Service (QoS). The proposed framework integrates (Integrated Framework IF) a popular standard named H.264/AVC video codin

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Sharma, Gajanand, and Dinesh Gova. "Performance Improvement for Fast Video Streaming in Peer-to-Peer Network." Asian Journal of Computer Science and Technology 6, no. 2 (2017): 43–49. http://dx.doi.org/10.51983/ajcst-2017.6.2.1781.

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Peer-to-peer (P2P) systems are becoming increasingly popular due to their ability to deliver large amounts of data at a reduced deployment cost. While P2P systems faster the development of novel media applications, they also represent an interesting alternative paradigm for media streaming applications that can benefit from the inherent self organization and resource scalability available in such environments. In this paper, we are improving the packet delivery ratio for the Peer to Peer network. We are using Head-Tail Video Streaming methodology. As we can show from the results session, the c

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Ahmed, Adel A., and Omar Barukab. "Autonomous framework simulation tools for real-time multimedia streaming over wireless ad-hoc networks." SIMULATION 96, no. 2 (2019): 185–97. http://dx.doi.org/10.1177/0037549719859065.

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Real-time video communication has become one of the most significant applications extensively used by homogeneous/heterogeneous wireless network technologies, such as Wi-Fi, the Internet of things, the wireless sensor network (WSN), 5G, etc. This leads to enhanced deployment of multimedia streaming applications over wireless network technologies. In order to accomplish the optimal performance of real-time multimedia streaming applications over the homogeneous/heterogeneous wireless network, it is therefore necessary to develop a simulation tool-set that effectively measures the quality of serv

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Gang, Hui-Seon, Goo-Rak Kwon, and Jae-Young Pyun. "Network-Aware Reference Frame Control for Error-Resilient H.264/AVC Video Streaming Service." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/9076086.

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To provide high-quality video streaming services in a mobile communication network, a large bandwidth and reliable channel conditions are required. However, mobile communication services still encounter limited bandwidth and varying channel conditions. The streaming video system compresses video with motion estimation and compensation using multiple reference frames. The multiple reference frame structure can reduce the compressed bit rate of video; however, it can also cause significant error propagation when the video in the channel is damaged. Even though the streaming video system includes

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Costa, André H. M., Helard Becerra Martinez, Daniel G. Silva, and Mylène C. Q. Farias. "Analyzing the effect of adding temporal features to an autoencoder-based video quality model." Electronic Imaging 2021, no. 9 (2021): 261–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-261.

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According to Cisco, most Internet traffic is currently comprised of videos. Therefore, developing a quality assessment method for assuring that those videos are received and displayed with quality at the user side is an important and challenging task. As a consequence, over the last decades, several no-reference video quality metrics have been proposed with the goal of blindly predicting (with no access to the original signal) the quality of videos in streaming applications. One of such metrics is NAVE, whose architecture includes an auto-encoder module that produces a compact set of visual fe

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Kumarganesh, S., S. Anthoniraj, T. Senthil Kumar, et al. "A Novel Analytical Framework Is Developed for Wireless Heterogeneous Networks for Video Streaming Applications." Journal of Mathematics 2022 (September 13, 2022): 1–7. http://dx.doi.org/10.1155/2022/2100883.

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Due to bandwidth and time limits, delivering high-quality video streaming facility offers real-time wireless networks, but assuring quality of experience (QoE) is rather difficult. A network host can deliver its data stream via numerous different network pathways. At the same time, using multipath data transmission, where video streaming may be supplied through Internet protocols (IPs) as well as broadband with bidirectional communication between video sources and consumers, is one way to address this difficult problem. In this work, a novel framework is developed for wireless heterogeneous ne

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Koffka, Khan. "A Privacy-Enhanced Video Streaming Taxonomy (PEVIST)." A Privacy-Enhanced Video Streaming Taxonomy (PEVIST) 8, no. 10 (2023): 16. https://doi.org/10.5281/zenodo.10090752.

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The Privacy-Enhanced Video Streaming Taxonomy (PEVIST) is a comprehensive framework that delineates the multifaceted roles and applications of homomorphic encryption in the domain of video streaming. This taxonomy serves as a structured guide to understanding how homomorphic encryption technologies can be leveraged to fortify the security, privacy, and efficiency of video streaming services. PEVIST offers a systematic classification of use cases, encompassing data privacy and confidentiality, secure video delivery, content analysis and processing, content recommendation, access control, waterm

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Wang, Cong. "A Novel Model for Large-Scale Online College Learning in Postpandemic Era: AI-Driven Approach." Mobile Information Systems 2021 (December 14, 2021): 1–10. http://dx.doi.org/10.1155/2021/1048186.

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COVID-19 is a pandemic with a wide reach and explosive magnitude, and the world has been bracing itself for impact. Many have lost their jobs and savings, and many are homeless. For better or worse, COVID-19 has permanently changed our lives. For college students, the pandemic means giving up most of the on-campus experience in the postpandemic era and performing online learning instead. Virtual lessons may become a permanent part of college education. Large-scale online learning typically utilizes interactive live video streaming. In this study, we analyzed a codec and video streaming transmi

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Kang, Jeongho, and Kwangsue Chung. "HTTP Adaptive Streaming Framework with Online Reinforcement Learning." Applied Sciences 12, no. 15 (2022): 7423. http://dx.doi.org/10.3390/app12157423.

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Dynamic adaptive streaming over HTTP (DASH) is an effective method for improving video streaming’s quality of experience (QoE). However, the majority of existing schemes rely on heuristic algorithms, and the learning-based schemes that have recently emerged also have a problem in that their performance deteriorates in a specific environment. In this study, we propose an adaptive streaming scheme that applies online reinforcement learning. When QoE degradation is confirmed, the proposed scheme adapts to changes in the client’s environment by upgrading the ABR model while performing video stream

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Kang, Young-myoung, and Yeon-sup Lim. "Bit Rate Adaptation Using Linear Quadratic Optimization for Mobile Video Streaming." Applied Sciences 11, no. 1 (2020): 99. http://dx.doi.org/10.3390/app11010099.

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Video streaming application such as Youtube is one of the most popular mobile applications. To adjust the quality of video for available network bandwidth, a streaming server provides multiple representations of video of which bit rate has different bandwidth requirements. A streaming client utilizes an adaptive bit rate (ABR) scheme to select a proper representation that the network can support. However, in mobile environments, incorrect decisions of an ABR scheme often cause playback stalls that significantly degrade the quality of user experience, which can easily happen due to network dyna

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Stensland, Håkon Kvale, Martin Alexander Wilhelmsen, Vamsidhar Reddy Gaddam, et al. "Using a Commodity Hardware Video Encoder for Interactive Applications." International Journal of Multimedia Data Engineering and Management 6, no. 3 (2015): 17–31. http://dx.doi.org/10.4018/ijmdem.2015070102.

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Over the last years, video streaming has become one of the most dominant Internet services. Due to the increased availability of high-speed Internet access, multimedia services are becoming more interactive. Examples of such applications are both cloud gaming (OnLive, 2014) and systems where users can interact with high-resolution content (Gaddam et al., 2014). During the last few years, programmable hardware video encoders have been built into commodity hardware such as CPUs and GPUs. One of these encoders is evaluated in a scenario where individual streams are delivered to the end users. The

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Zeng, Hao, and Yuan Fang. "Implementation of Video Transcoding Client Based on FFMPEG." Advanced Materials Research 756-759 (September 2013): 1748–52. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1748.

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As the increasing applications of streaming media, using the streaming media server to provide high-quality video service for people becomes a trend. Streaming media server for video format requirements has become the bottleneck of its development, In this paper, we give a kind of transcoding method, through compiling FFmpeg source code under the windows OS, adding the x264 video codec and FAAC audio library, we can get ffmpeg.exe which can run directly, and we use MFC to design the the operation interface, which used to convert other video formats into stream media server supported formats.

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Diallo, Bakary, Abdelaziz Ouamri, and Mokhtar Keche. "A Hybrid Approach for WebRTC Video Streaming on Resource-Constrained Devices." Electronics 12, no. 18 (2023): 3775. http://dx.doi.org/10.3390/electronics12183775.

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This paper introduces thorough comparative and interoperability analyses involving a browser-based P2P video streaming approach utilizing WebRTC (web real-time communication), along with WebRTC hybrid solutions developed using the React Native framework (for mobile) and the electron framework (for desktop and Raspberry Pi). The assessment is carried out based on various metrics, including CPU (central processing unit) load, RAM (random access memory) utilization, and network data consumption. The obtained findings highlight the potential of integrating WebRTC P2P video streaming into hybrid ap

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Eller, Jeff. "Guide to streaming video acquisitions." Technical Services Quarterly 36, no. 3 (2019): 328–30. http://dx.doi.org/10.1080/07317131.2019.1621570.

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Ramanujam, Sukumar, Mahesh T R, and Mouleeshwaran S K. "A Novel Approach for Enhancing Performance of VoD Systems." International Journal of Advanced Research in Engineering 4, no. 4 (2018): 7. http://dx.doi.org/10.24178/ijare.2018.4.4.07.

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Multimedia applications such as Video-on-Demand (VoD), Live streaming, Internet stock quotes, Internet radio, audio/music delivery, video surveillance are of growing interest among general public. Existing systems that support these kinds of applications such as centralized server, independent server nodes, and proxy incur significant delay and serve only less number of videos. In this research, a multi-server system that utilizes a split and merge scheme is proposed to reduce the waiting time. This system helps us to achieve load balancing, while increasing the number of videos being served.

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Kumar Kodyvaur Krishna Murthy, Shalu Jain, and Om Goel. "The Impact of Cloud-Based Live Streaming Technologies on Mobile Applications: Development and Future Trends." Innovative Research Thoughts 8, no. 1 (2022): 181–93. http://dx.doi.org/10.36676/irt.v8.i1.1453.

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The proliferation of cloud-based live streaming technologies has significantly impacted the development and functionality of mobile applications. These technologies, leveraging scalable cloud infrastructure, offer developers a robust platform for delivering real-time streaming content, improving user engagement, and expanding service capabilities. This paper explores the transformative effects of cloud-based live streaming on mobile application development, emphasizing key innovations, current challenges, and future trends. Cloud-based live streaming technologies enable mobile applications to

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Jyothiprakash Reddy Thukivakam. "A Technical Analysis of H.264 Video Coding and Network Transport Architecture." Journal of Computer Science and Technology Studies 7, no. 3 (2025): 381–88. https://doi.org/10.32996/jcsts.2025.7.3.44.

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This article presents a comprehensive technical examination of H.264/Advanced Video Coding (AVC) and its integration with Real-time Transport Protocol (RTP) for modern video streaming applications. We explore the fundamental compression principles underlying H.264, including predictive coding, transform coding, and quantization, while analyzing their collective impact on video compression efficiency. The discussion extends to the Network Abstraction Layer (NAL) architecture and various RTP packetization modes, providing insights into their practical implementations for different streaming scen

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V., J. Chakravarthy. "Comparative Analysis of SRAAA, SDSR, SAODV Routing Protocol for Video Streaming in MANET." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 3 (2018): 1075–82. https://doi.org/10.11591/ijeecs.v11.i3.pp1075-1082.

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The most challenging concern in MANET is video streaming and it essentially exaggerated by these important factors such as fading, node mobility, interference, topology on change in dynamic, collusion, shadowing in multi-path etc. One of the very attractive and considered for many applications is Mobile Ad Hoc Networks (MANET).Routing Protocol is most significant element which is considered as the MANET. Though, the quite demanding task is video streaming over MANET. This paper have been investigated the analysis of routing protocols over MANET for video streaming. The comparison of the three

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Roh Bintang Jaya, Mabrur, Widyastuti Andriyani, Domy Kristomo, and Muhammad Agung Nugroho. "Dynamic Bitrate Adjustment in Web-based Video Streaming Applications Using HTTP Live Streaming (HLS)." Journal of Intelligent Software Systems 3, no. 1 (2024): 13. http://dx.doi.org/10.26798/jiss.v3i1.1344.

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This research aims to implement Adaptive Bit Rate (ABR) in the web-based video streaming application JBTV using HTTP Live Streaming (HLS). ABR is a technique that enables automatic adjustment of video bitrate according to user network conditions, while HLS is a streaming protocol that supports adaptive streaming based on HTTP. The research methodology encompasses requirements analysis, system design, implementation, and evaluation. During the requirements analysis phase, the identification of JBTV application requirements and the features needed to implement ABR with HLS were conducted. System

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Shin, Yongje, Hyunseok Choi, Youngju Nam, and Euisin Lee. "Video Packet Distribution Scheme for Multimedia Streaming Services in VANETs." Sensors 21, no. 21 (2021): 7368. http://dx.doi.org/10.3390/s21217368.

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By leveraging the development of mobile communication technologies and due to the increased capabilities of mobile devices, mobile multimedia services have gained prominence for supporting high-quality video streaming services. In vehicular ad-hoc networks (VANETs), high-quality video streaming services are focused on providing safety and infotainment applications to vehicles on the roads. Video streaming data require elastic and continuous video packet distributions to vehicles to present interactive real-time views of meaningful scenarios on the road. However, the high mobility of vehicles i

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Doan Van, Hoa, Thai Trung Kien, Hoang Dinh Thang, Dao Khac Huan, Nguyen Xuan Bac, and Hoa Tat Thang. "A method to increase video streaming speed and efficiency of storage video using multithreading and Random Access Memory." Journal of Military Science and Technology 93, no. 93 (2024): 171–74. http://dx.doi.org/10.54939/1859-1043.j.mst.93.2024.171-174.

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There are numerous vital applications for online video storage and network transmission today. With exceptional scalability and browser and device compatibility, Hypertext Transfer Protocol (HTTP) live streaming (HLS) is today's most popular video and audio transmission protocol. In the article, the authors proposed a method of using multithreading and Random Access Memory (RAM) to store and transmit videos to help the server achieve higher speed, improve video transmission speed and video storage efficiency. The results of this research will help multimedia server developers evaluate the appr

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Wei, Chongyu, and Honglin Zhang. "Applications of a Streaming Video Server in a Mobile Phone Live Streaming System." Journal of Software Engineering and Applications 07, no. 12 (2014): 975–82. http://dx.doi.org/10.4236/jsea.2014.712085.

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Koffka, Khan. "A Taxonomy for Generative Adversarial Networks in Dynamic Adaptive Streaming Over HTTP." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 06, no. 06 (2023): 2482–93. https://doi.org/10.5281/zenodo.8046955.

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Generative Adversarial Networks (GANs) have emerged as a powerful tool in the field of Dynamic Adaptive Streaming over HTTP (DASH) to enhance various aspects of video streaming. This paper presents a taxonomy that categorizes the applications and techniques of GANs in the context of DASH. The taxonomy covers several key dimensions, including video generation, compression, quality enhancement, bandwidth adaptation, dynamic bitrate streaming, and cross-modal applications. Within each dimension, specific subcategories are identified to capture the diverse applications of GANs in DASH. Additionall

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