Journal articles: 'MPEG-DASH'

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Nishimura, Satoshi. "MPEG-DASH." Journal of The Institute of Image Information and Television Engineers 71, no. 1 (2017): 78–81. http://dx.doi.org/10.3169/itej.71.78.

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Azwar, Hamid. "Pengaruh Panjang Segmen Video pada Dynamic Adaptive Streaming over HTTP (DASH) terhadap Kualitas Pengiriman Video H.265." Jurnal Elektro dan Mesin Terapan 1, no. 2 (November 2015): 39–48. http://dx.doi.org/10.35143/elementer.v1i2.17.

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Saat ini sudah muncul video coding terbaru yaitu H.265 atau dikenal dengan nama High Efficiency Video Coding (HEVC). Dalam penerapan layanan video streaming menggunakan MPEG-DASH, representasi tingkat kualitas video yang terdapat pada Media Presentation Description (MPD) disusun oleh beberapa segmen video. Permasalahan yang muncul saat pengaturan panjang segmen video tersebut adalah pengaruh kualitas video yang diterima pada klien pada saat segmen video tersebut dikirimkan menggunakan MPEG-DASH. Penelitian ini menggunakan video H.265 untuk dikirimkan menggunakan MPEG-DASH yang dicampur dengan trafik background dari server FTP pada jaringan WLAN. Hasil penilitian ini menunjukkan video H.265 dapat digunakan untuk pengiriman secara adaptif menggunakan MPEG-DASH. Panjang segmen video yang semakin kecil akan menghasilkan nilai PSNR yang semakin besar. Segmen video yang semakin besar berdampak positif terhadap processor usage karenamenghasilkan nilai yang semakin kecil.Kata kunci: HEVC, MPEG-DASH, H.265, PSNR, segmen

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Widyantara, I. Made Oka, Muhammad Audy Bazly, and Ngurah Indra ER. "ADAPTIVE STREAMING OVER HTTP (DASH) UNTUK APLIKASI VIDEO STREAMING." Majalah Ilmiah Teknologi Elektro 14, no. 2 (December 30, 2015): 18. http://dx.doi.org/10.24843/mite.2015.v14i02p04.

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This paper aims to analyze Internet-based streaming video service in the communication media with variable bit rates. The proposed scheme on Dynamic Adaptive Streaming over HTTP (DASH) using the internet network that adapts to the protocol Hyper Text Transfer Protocol (HTTP). DASH technology allows a video in the video segmentation into several packages that will distreamingkan. DASH initial stage is to compress the video source to lower the bit rate video codec uses H.26. Video compressed further in the segmentation using MP4Box generates streaming packets with the specified duration. These packages are assembled into packets in a streaming media format Presentation Description (MPD) or known as MPEG-DASH. Streaming video format MPEG-DASH run on a platform with the player bitdash teritegrasi bitcoin. With this scheme, the video will have several variants of the bit rates that gave rise to the concept of scalability of streaming video services on the client side. The main target of the mechanism is smooth the MPEG-DASH streaming video display on the client. The simulation results show that the scheme based scalable video streaming MPEG-DASH able to improve the quality of image display on the client side, where the procedure bufering videos can be made constant and fine for the duration of video views

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Chaubet, Allan, George Henrique de Oliveira, Gustavo Valeira, and Cristiano Akamine. "Practical tests with MMT and ROUTE/DASH on the transport layer of ATSC 3.0." SET INTERNATIONAL JOURNAL OF BROADCAST ENGINEERING 2020, no. 6 (August 1, 2020): 56–65. http://dx.doi.org/10.18580/setijbe.2020.5.

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The development of new technologies allowed television systems to evolve over time. For the transport layer, the Movie Pictures Expert Group (MPEG) developed several standards to deliver multimedia content, including the MPEG-2 Transport Stream (TS), which has been widely explored for years. However, it was developed before the spread of the internet, which led to the interest in a new standard that could fulfill the needs from a connected world. One of these standards is the MPEG Multimedia Transport (MMT), which has inherited some features from the MPEG-2 TS, adapting them to be compatible with the Internet Protocol (IP). The broadband systems also needed a new standard compatible with Hypertext Transfer Protocol (HTTP), resulting in the development of the MPEG-Dynamic Adaptive Streaming over HTTP (DASH). To deliver DASH on broadcast channels, it was combined with the Real-time Object delivery over Unidirectional Transport (ROUTE) protocol. The Advanced Television Systems Committee 3.0 (ATSC 3.0) adopted many technologies to attend the requirements for the next generation of television systems, including both MMT and ROUTE/DASH. This paper presents a historic background of these delivery methods, as well as a brief technical review, focusing on a practical setup to test the methods mentioned, analyzing the differences and similarities of their properties.

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Park, MinKyu, and Yong Han Kim. "MMT-based Broadcasting Services Combined with MPEG-DASH." Journal of Broadcast Engineering 20, no. 2 (March 30, 2015): 283–99. http://dx.doi.org/10.5909/jbe.2015.20.2.283.

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Podborski, Dimitri, Emmanuel Thomas, Miska M. Hannuksela, Sejin Oh, Thomas Stockhammer, and Stefan Pham. "360-Degree Video Streaming with MPEG-DASH." SMPTE Motion Imaging Journal 127, no. 7 (August 2018): 20–27. http://dx.doi.org/10.5594/jmi.2018.2838779.

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Hoppe, Christian, and Tadeus Uhl. "A Comparison Study of DASH Technique by Video Streaming over IP with the Use of RTP and HTTP Protocols." Journal of Telecommunications and Information Technology 1 (March 31, 2020): 70–75. http://dx.doi.org/10.26636/jtit.2020.137819.

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Today’s Internet knows no bounds. New applications are marketed every single day. Many of them incorporate video sequences. These must be transported over the Internet quickly (often in real time). However, the Internet has not been designed for live communications and, regrettably, this may become apparent all too quickly. Countermeasures are required in the form of new, eﬃcient transport techniques facilitating online video services. MPEG-DASH is one of such modern techniques. But how good is this new technique really? This paper delves into the matter. The paper contains an analysis of the impact that the new technology exerts on the quality of video streaming over IP networks. It also describes a new numerical tool – QoSCalc (DASH-HTTP) which has been used to analyze MPEG-DASH under diﬀerent use scenarios. The results are presented graphically and their interpretation is provided

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Taha, Miran, Jose Miguel Jimenez, Alejandro Canovas, and Jaime Lloret. "Intelligent Algorithm for Enhancing MPEG-DASH QoE in eMBMS." Network Protocols and Algorithms 9, no. 3-4 (February 18, 2018): 94. http://dx.doi.org/10.5296/npa.v9i3-4.12573.

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Multimedia streaming is the most demanding and bandwidth hungry application in today’s world of Internet. MPEG-DASH as a video technology standard is designed for delivering live or on-demand streams in Internet to deliver best quality content with the fewest dropouts and least possible buffering. Hybrid architecture of DASH and eMBMS has attracted a great attention from the telecommunication industry and multimedia services. It is deployed in response to the immense demand in multimedia traffic. However, handover and limited available resources of the system affected on dropping segments of the adaptive video streaming in eMBMS and it creates an adverse impact on Quality of Experience (QoE), which is creating trouble for service providers and network providers towards delivering the service. In this paper, we derive a case study in eMBMS to approach to provide test measures evaluating MPEG-DASH QoE, by defining the metrics are influenced on QoE in eMBMS such as bandwidth and packet loss then we observe the objective metrics like stalling (number, duration and place), buffer length and accumulative video time. Moreover, we build a smart algorithm to predict rate of segments are lost in multicast adaptive video streaming. The algorithm deploys an estimation decision regards how to recover the lost segments. According to the obtained results based on our proposal algorithm, rate of lost segments is highly decreased by comparing to the traditional approach of MPEG-DASH multicast and unicast for high number of users.

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Kim, Yong Han, and Minkyu Park. "MPEG-DASH Services for 3D Contents Based on DMB AF." Journal of Broadcast Engineering 18, no. 1 (January 30, 2013): 115–21. http://dx.doi.org/10.5909/jbe.2013.18.1.115.

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Chang, Shin-Hung, Min-Lun Tsai, Meng-Huang Lee, and Jan-Ming Ho. "Optimal QoE Scheduling in MPEG-DASH Video Streaming." International Journal of Interactive Multimedia and Artificial Intelligence 6, no. 7 (2021): 71. http://dx.doi.org/10.9781/ijimai.2021.06.003.

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Thang, Truong, Quang-Dung Ho, Jung Kang, and Anh Pham. "Adaptive streaming of audiovisual content using MPEG DASH." IEEE Transactions on Consumer Electronics 58, no. 1 (February 2012): 78–85. http://dx.doi.org/10.1109/tce.2012.6170058.

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Vergados, Dimitrios J., Angelos Michalas, Aggeliki Sgora, Dimitrios D. Vergados, and Periklis Chatzimisios. "FDASH: A Fuzzy-Based MPEG/DASH Adaptation Algorithm." IEEE Systems Journal 10, no. 2 (June 2016): 859–68. http://dx.doi.org/10.1109/jsyst.2015.2478879.

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Timmerer, Christian. "MPEG column: 128th MPEG meeting in Geneva, Switzerland." ACM SIGMultimedia Records 11, no. 4 (December 2019): 1. http://dx.doi.org/10.1145/3530839.3530846.

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The 128th MPEG meeting concluded on October 11, 2019 in Geneva, Switzerland with the following topics: •Low Complexity Enhancement Video Coding (LCEVC) Promoted to Committee Draft •2nd Edition of Omnidirectional Media Format (OMAF) has reached the first milestone •Genomic Information Representation --- Part 4 Reference Software and Part 5 Conformance Promoted to Draft International Standard The corresponding press release of the 128th MPEG meeting can be found here: https://mpeg.chiariglione.org/meetings/128. In this report we will focus on video coding aspects (i.e., LCEVC) and immersive media applications (i.e., OMAF). At the end, we will provide an update related to adaptive streaming (i.e., DASH and CMAF).

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Hoppe, Christian, and Tadeus Uhl. "Video Streaming over IP using the DASH Technique." Journal of Telecommunications and Information Technology 2 (June 29, 2018): 3–7. http://dx.doi.org/10.26636/jtit.2018.125318.

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Modern Internet serves as a high-performance platform for an ever-increasing number of services. Some of them – video services in particular – are of the broadband variety. So, it is not surprising that segments of networks can rapidly become congested, which may lead to a deterioration in quality. It is hoped that the new MPEG-DASH technique will alleviate congestion. This paper contains an analysis of the new technology’s impact on the quality of service in IP networks. It also explains a new numerical tool QoSCalc(DASH) that has been used to analyze the DASH method in diﬀerent scenarios. The results are presented graphically and interpreted.

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Vlaović, Jelena, Snježana Rimac-Drlje, Drago Žagar, and Luka Filipović. "Content dependent spatial resolution selection for MPEG DASH segmentation." Journal of Industrial Information Integration 24 (December 2021): 100240. http://dx.doi.org/10.1016/j.jii.2021.100240.

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Kapetanakis, Kostas, Markos Zampoglou, Athanasios G. Malamos, Spyros Panagiotakis, and Emmanuel Maravelakis. "An MPEG-DASH Methodology for QoE-Aware Web3D Streaming." International Journal of Wireless Networks and Broadband Technologies 3, no. 4 (October 2014): 1–20. http://dx.doi.org/10.4018/ijwnbt.2014100101.

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Recent advances in web technologies have now created a ubiquitous environment for cross-platform and cross-device multimedia applications. Media files can now be reproduced in a wide range of devices, from mobile phones to desktop computers and web-enabled televisions, using a common infrastructure. This trend towards unifying the technological infrastructure, however, has given rise to a new array of problems resulting from the varying technological capabilities of the different devices and environments. This paper, proposes an adaptive streaming framework for the display of 3D models on a wide range of web-enabled devices. The open, XML-based X3D language for 3D graphics is combined with the MPEG-DASH standard for adaptive streaming. The end result is a framework that can adaptively display 3D graphics in the face of network or computational limitations, and dynamically adapt data flow to maximize user Quality of Experience in any situation.

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Concolato, Cyril, Jean Le Feuvre, Franck Denoual, Frederic Maze, Eric Nassor, Nael Ouedraogo, and Jonathan Taquet. "Adaptive Streaming of HEVC Tiled Videos Using MPEG-DASH." IEEE Transactions on Circuits and Systems for Video Technology 28, no. 8 (August 2018): 1981–92. http://dx.doi.org/10.1109/tcsvt.2017.2688491.

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Thomas, Emmanuel, M. O. van Deventer, Thomas Stockhammer, Ali C. Begen, and Jeroen Famaey. "Enhancing MPEG DASH Performance via Server and Network Assistance." SMPTE Motion Imaging Journal 126, no. 1 (January 2017): 22–27. http://dx.doi.org/10.5594/jmi.2016.2632338.

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Vijayalakshmi, S., S. Vishnupriya, B. Sarala, Bhuvan Karthik Ch., R. Dhanalakshmi, J. Jasmine Hephzipah, and R. Pavaiyarkarasi. "Improved DASH Architecture for Quality Cloud Video Streaming in Automated Systems." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 2s (January 31, 2023): 32–42. http://dx.doi.org/10.17762/ijritcc.v11i2s.6026.

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In modern times, multimedia streaming systems that transmit video across a channel primarily use HTTP services as a delivery component. Encoding the video for all quality levels is avoided thanks to fuzzy based encoders' ability to react to network changes. Additionally, the system frequently uses packet priority assignment utilising a linear error model to enhance the dynamic nature of DASH without buffering. Based on a fuzzy encoder, the decision of video quality is made in consideration of the bandwidth available. This is a component of the MPEG DASH encoder. The Fuzzy DASH system seeks to increase the scalability of online video streaming, making it suitable for live video broadcasts through mobile and other devices.

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BABU, DILLI, Kasarapu Ramani, and O. Obulesu. "Real Time Implementation on Media Presentation Description for MPEG-DASH." i-manager's Journal on Software Engineering 9, no. 3 (March 15, 2015): 11–20. http://dx.doi.org/10.26634/jse.9.3.3468.

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Sodagar, Iraj. "The MPEG-DASH Standard for Multimedia Streaming Over the Internet." IEEE Multimedia 18, no. 4 (April 2011): 62–67. http://dx.doi.org/10.1109/mmul.2011.71.

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Pozueco, Laura, Xabiel García Pañeda, Roberto García, David Melendi, Sergio Cabrero, and Gabriel Díaz Orueta. "Adaptation engine for a streaming service based on MPEG-DASH." Multimedia Tools and Applications 74, no. 18 (May 4, 2014): 7983–8002. http://dx.doi.org/10.1007/s11042-014-2034-y.

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Hirabayashi, Mitsuhiro. "4. MPEG-DASH Technology Overview for Network Video Service, MPEG Standardization Trends and Related Technology Trends." Journal of the Institute of Image Information and Television Engineers 67, no. 2 (2013): 109–15. http://dx.doi.org/10.3169/itej.67.109.

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Park, Gi-Jun, Gil-Bok Lee, Jang-Won Lee, and Kyu-Heon Kim. "HTTP Adaptive Streaming Method for Service-compatible 3D Contents Based on MPEG DASH." Journal of Broadcast Engineering 17, no. 2 (March 30, 2012): 207–22. http://dx.doi.org/10.5909/jeb.2012.17.2.207.

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Vlaović, Jelena, Snježana Rimac-Drlje, and Drago Žagar. "Content Dependent Representation Selection Model for Systems Based on MPEG DASH." Electronics 10, no. 15 (July 31, 2021): 1843. http://dx.doi.org/10.3390/electronics10151843.

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A standard called MPEG Dynamic Adaptive Streaming over HTTP (MPEG DASH) ensures the interoperability between different streaming services and the highest possible video quality in changing network conditions. The solutions described in the available literature that focus on video segmentation are mostly proprietary, use a high amount of computational power, lack the methodology, model notation, information needed for reproduction, or do not consider the spatial and temporal activity of video sequences. This paper presents a new model for selecting optimal parameters and number of representations for video encoding and segmentation, based on a measure of the spatial and temporal activity of the video content. The model was developed for the H.264 encoder, using Structural Similarity Index Measure (SSIM) objective metrics as well as Spatial Information (SI) and Temporal Information (TI) as measures of video spatial and temporal activity. The methodology that we used to develop the mathematical model is also presented in detail so that it can be applied to adapt the mathematical model to another type of an encoder or a set of encoding parameters. The efficiency of the segmentation made by the proposed model was tested using the Basic Adaptation algorithm (BAA) and Segment Aware Rate Adaptation (SARA) algorithm as well as two different network scenarios. In comparison to the segmentation available in the relevant literature, the segmentation based on the proposed model obtains better SSIM values in 92% of cases and subjective testing showed that it achieves better results in 83.3% of cases.

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Cranfill, Luke, Jeehyeong Kim, Hongkyu Lee, Victor Youdom Kemmoe, Sunghyun Cho, and Junggab Son. "Efficient yet Robust Privacy Preservation for MPEG-DASH-Based Video Streaming." Security and Communication Networks 2021 (August 26, 2021): 1–14. http://dx.doi.org/10.1155/2021/4702469.

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MPEG-DASH is a video streaming standard that outlines protocols for sending audio and video content from a server to a client over HTTP. However, it creates an opportunity for an adversary to invade users’ privacy. While a user is watching a video, information is leaked in the form of meta-data, the size of data and the time the server sent the data to the user. After a fingerprint of this data is created, the adversary can use this to identify whether a target user is watching the corresponding video. Only one defense strategy has been proposed to deal with this problem: differential privacy that adds sufficient noise in order to muddle the attacks. However, that strategy still suffers from the trade-off between privacy and efficiency. This paper proposes a novel defense strategy against the attacks with rigorous privacy and performance goals creating a private, scalable solution. Our algorithm, “No Data are Alone” (NDA), is highly efficient. The experimental results show that our scheme is more than two times efficient in terms of excess downloaded video (represented as waste) compared to the most efficient differential privacy-based scheme. Additionally, no classifier can achieve an accuracy above 7.07% against videos obfuscated with our scheme.

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Stockhammer, Thomas, and Iraj Sodagar. "MPEG DASH: The Enabler Standard for Video Delivery over the Internet." SMPTE Motion Imaging Journal 121, no. 5 (July 2012): 40–46. http://dx.doi.org/10.5594/j18188.

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Gazdar, Achraf, and Lamia Alkwai. "Toward a full peer to peer MPEG-DASH compliant streaming system." Multimedia Tools and Applications 77, no. 12 (September 7, 2017): 15829–49. http://dx.doi.org/10.1007/s11042-017-5157-0.

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Kinoshita, Toya, and Hiroyuki Hisamatsu. "Low Latency Live Streaming System with Congestion Control." Journal of Advances in Computer Networks 9, no. 1 (2021): 8–13. http://dx.doi.org/10.18178/jacn.2021.9.1.280.

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In recent years, the traffic for live streaming on the web has been increasing. The current live streaming methods that use MPEG-DASH or HLS are simple and scale easily to many clients using HTTP. However, they do not take into account the communication between the distributor and the viewer. As a result, latency between the distributor and the viewer is relatively high. Therefore, in this paper, we propose a low latency live streaming system on the web using WebRTC. Since WebRTC uses UDP, it does not have a congestion control mechanism. Depending on the network congestion, it is possible to stream video with quality that exceeds the available bandwidth. Therefore, we propose a system to change the video quality based on the congestion status. The proposed system increases or decreases the video transfer rate by changing the quality of the streamed video depending on the network conditions. We have evaluated the proposed system in a real network environment. As a result, we showed that the delay of the proposed system is smaller than that of the MPEG-DASH system. We also showed that the proposed system can change the quality of the video and switch the transmission rate appropriately according to the network conditions.

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Rahman, Waqas ur, Md Delowar Hossain, and Eui-Nam Huh. "Fuzzy-Based Quality Adaptation Algorithm for Improving QoE from MPEG-DASH Video." Applied Sciences 11, no. 11 (June 6, 2021): 5270. http://dx.doi.org/10.3390/app11115270.

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Video clients employ HTTP-based adaptive bitrate (ABR) algorithms to optimize users’ quality of experience (QoE). ABR algorithms adopt video quality based on the network conditions during playback. The existing state-of-the-art ABR algorithms ignore the fact that video streaming services deploy segment durations differently in different services, and HTTP clients offer distinct buffer sizes. The existing ABR algorithms use fixed control laws and are designed with predefined client/server settings. As a result, adaptation algorithms fail to achieve optimal performance across a variety of video client settings and QoE objectives. We propose a buffer- and segment-aware fuzzy-based ABR algorithm that selects video rates for future video segments based on segment duration and the client’s buffer size in addition to throughput and playback buffer level. We demonstrate that the proposed algorithm guarantees high QoE across various video player settings and video content characteristics. The proposed algorithm efficiently utilizes bandwidth in order to download high-quality video segments and to guarantee high QoE. The results from our experiments reveal that the proposed adaptation algorithm outperforms state-of-the-art algorithms, providing improvements in average video rate, QoE, and bandwidth utilization, respectively, of 5% to 18%, about 13% to 30%, and up to 45%.

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Rodrigues, Rafael, Peter Pocta, Hugh Melvin, Marco V. Bernardo, Manuela Pereira, and Antonio M. G. Pinheiro. "Audiovisual quality of live music streaming over mobile networks using MPEG-DASH." Multimedia Tools and Applications 79, no. 33-34 (June 23, 2020): 24595–619. http://dx.doi.org/10.1007/s11042-020-09047-6.

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Zampoglou, Markos, Kostas Kapetanakis, Andreas Stamoulias, Athanasios G. Malamos, and Spyros Panagiotakis. "Adaptive streaming of complex Web 3D scenes based on the MPEG-DASH standard." Multimedia Tools and Applications 77, no. 1 (December 16, 2016): 125–48. http://dx.doi.org/10.1007/s11042-016-4255-8.

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ATEHORTUA, Jhonny. "Proposal of a tool for the automatic estimation of quality of experience in MPEG-DASH scenarios." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 8 (August 1, 2022): 141–47. http://dx.doi.org/10.15199/48.2022.08.26.

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Arce, Pau, Ismael de Fez, Román Belda, Juan Carlos Guerri, and Salvador Ferrairó. "Proxy-based near real-time TV content transmission in mobility over 4G with MPEG-DASH transcoding on the cloud." Multimedia Tools and Applications 78, no. 18 (June 10, 2019): 26399–425. http://dx.doi.org/10.1007/s11042-019-07840-6.

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Özbek, Nükhet, and Engin Şenol. "Optimal inter-view rate allocation for multi-view video plus depth over MPEG-DASH using QoE measures and paired comparison." Signal, Image and Video Processing 13, no. 6 (April 8, 2019): 1215–23. http://dx.doi.org/10.1007/s11760-019-01464-x.

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Heo, Jeonghwan, and Jechang Jeong. "Deceptive Techniques to Hide a Compressed Video Stream for Information Security." Sensors 21, no. 21 (October 29, 2021): 7200. http://dx.doi.org/10.3390/s21217200.

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With the recent development of video compression methods, video transmission on traditional devices and video distribution using networks has increased in various devices such as drones, IP cameras, and small IoT devices. As a result, the demand for encryption techniques such as MPEG-DASH for transmitting streams over networks is increasing. These video stream security methods guarantee stream confidentiality. However, they do not hide the fact that the encrypted stream is being transmitted over the network. Considering that sniffing attacks can analyze the entropy of the stream and scan huge amounts of traffic on the network, to solve this problem, the deception method is required, which appears unencrypted but a confidential stream. In this paper, we propose the new deception method that utilizes standard NAL unit rules of video codec, where the unpromised device shows the cover video and the promised device shows the secret video for deceptive security. This method allows a low encryption cost and the stream to dodge entropy-based sniffing scan attacks. The proposed stream shows that successful decoding using five standard decoders and processing performance was 61% faster than the conventional encryption method in the test signal conformance set. In addition, a network encrypted stream scan method the HEDGE showed classification results that our stream is similar to a compressed video.

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Liubogoshchev, Mikhail, Evgeny Korneev, and Evgeny Khorov. "EVeREst: Bitrate Adaptation for Cloud VR." Electronics 10, no. 6 (March 14, 2021): 678. http://dx.doi.org/10.3390/electronics10060678.

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Cloud Virtual Reality (VR) technology is expected to promote VR by providing a higher Quality of Experience (QoE) and energy efficiency at lower prices for the consumer. In cloud VR, the virtual environment is rendered on the remote server and transmitted to the headset as a video stream. To guarantee real-time experience, networks need to transfer huge amounts of data with much stricter delays than imposed by the state-of-the-art live video streaming applications. To reduce the burden imposed on the networks, cloud VR applications shall adequately react to the changing network conditions, including the wireless channel fluctuations and highly variable user activity. For that, they need to adjust the quality of the video stream adaptively. This paper studies video quality adaptation for cloud VR and improves the QoE for cloud VR users. It develops a distributed, i.e., with no assistance from the network, bitrate adaptation algorithm for cloud VR, called the Enhanced VR bitrate Estimator (EVeREst). The algorithm aims to optimize the average bitrate of cloud VR video flows subject to video frame delay and loss constraints. For that, the algorithm estimates both the current network load and the delay experienced by separate frames. It anticipates the changes in the users’ activity and limits the bitrate accordingly, which helps prevent excess interruptions of the playback. With simulations, the paper shows that the developed algorithm significantly improves the QoE for the end-users compared to the state-of-the-art adaptation algorithms developed for MPEG DASH live streaming, e.g., BOLA. Unlike these algorithms, the developed algorithm satisfies the frame loss requirements of multiple VR sessions and increases the network goodput by up to 10 times.

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İren, Ecem, and Aylin Kantarci. "Content Aware Video Streaming with MPEG DASH Technology." TEM Journal, May 27, 2022, 611–19. http://dx.doi.org/10.18421/tem112-15.

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Streaming has become one of the most significant topics in recent years. Network conditions may change from time to time and this affects quality of communication negatively. MPEG DASH, which means dynamic adaptive streaming over HTTP has been developed to adapt communication to environmental conditions and maintain quality. In this study, a system is developed with MPEG DASH to reduce bandwidth usage of network. Video is separated to parts as detailed and non-detailed visually. While detailed scenes are streamed in high quality, less detailed ones are streamed in low quality. Encoding rates are decided by considering SSIM, and suitable bitrate values are selected. Streaming of content is performed with Bitmovin Player. Performance of model is analyzed through bandwidth metric in Wireshark Packet Tracer with a conclusion that there is 35% reduction in bandwidth utilization.

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Özbek, Nükhet. "Kullanıcı-Merkezli Bir MPEG-DASH Sisteminin Tasarımı ve Kalite Değerlendirmesi." Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, December 22, 2017. http://dx.doi.org/10.29109/http-gujsc-gazi-edu-tr.356681.

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Azwar, Hamid. "Evaluation of H.265 Video Delivery Based on Dynamic Adaptive Streaming over HTTP (DASH) Using Mobile Devices." IJITEE (International Journal of Information Technology and Electrical Engineering) 1, no. 2 (September 18, 2017). http://dx.doi.org/10.22146/ijitee.28360.

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MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) is a standard for HTTP streaming that allows interoperability between servers and clients from different vendors which is able to adjust the speed of video delivery to changing bandwidth. Today there is the latest H.265 video coding known as the High Efficiency Video Coding (HEVC). This research implemented the delivery of the H.265 video through the method of Dynamic Adaptive Streaming over HTTP (DASH) using mobile devices. The test was conducted by sending videos over 3G networks with GSM length video segment consists of 2 seconds, 5 seconds, 10 seconds and 20 seconds. The video quality provided in this study consisted of 5 video levels with different bit rates. From the test results, the submitted videos using a smaller video segment generated greater throughput and acquired more video quality with a higher bit rate than the video to a larger segment. Video delivery with segment of 2 seconds acquired video quality with the highest level of 83%, meanwhile the video delivery segment of 20 seconds obtained video quality with the highest level of 33%.

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Kartikasari, Dany Primanita, Waskitho Wibisono, and Tohari Ahmad. "Evaluasi Kinerja Video Streaming Mpeg Dash Menggunakan Protokol Transport Multipath TCP." Inspiration : Jurnal Teknologi Informasi dan Komunikasi 7, no. 2 (December 15, 2017). http://dx.doi.org/10.35585/inspir.v7i2.2443.

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Jimoh, Rasheed Gbenga, Joseph Bamidele Awotunde, Roseline Oluwaseun Ogundokun, and Damilola Silas Adeoti. "A randomized encryption algorithm for the MPEG-DASH digital rights management." Information Security Journal: A Global Perspective, March 30, 2024, 1–13. http://dx.doi.org/10.1080/19393555.2024.2334764.

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Sebai, D., and E. Manai. "MPEG-DASH parametrisation for adaptive online streaming of different MOOC videos categories." Multimedia Tools and Applications, August 14, 2021. http://dx.doi.org/10.1007/s11042-021-11352-7.

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Weng, Hung-Yen, Ren-Hung Hwang, and Chin-Feng Lai. "Live MPEG-DASH video streaming cache management with cognitive mobile edge computing." Journal of Ambient Intelligence and Humanized Computing, September 19, 2020. http://dx.doi.org/10.1007/s12652-020-02549-z.

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SAKAMOTO, Ryuta, Takahiro SHOBUDANI, Ryosuke HOTCHI, and Ryogo KUBO. "QoE-Aware Stable Adaptive Video Streaming Using Proportional-Derivative Controller for MPEG-DASH." IEICE Transactions on Communications, 2020. http://dx.doi.org/10.1587/transcom.2020ebp3038.

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"Analysis and Improvement of MPEG-DASH-based Internet Live Broadcasting Services in Real-world Environments." KSII Transactions on Internet and Information Systems 13, no. 5 (May 31, 2019). http://dx.doi.org/10.3837/tiis.2019.05.017.

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Awad, Mustafa M., and Nasser N. Khamiss. "Low Latency UHD Adaptive Video Bitrate Streaming Based on HEVC Encoder Configurations and Http2 Protocol." Iraqi Journal of Science, April 30, 2022, 1836–47. http://dx.doi.org/10.24996/ijs.2022.63.4.40.

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Applying 4K, (Ultra HD) Real-time video streaming via the internet network, with low bitrate and low latency, is the challenge this paper addresses. Compression technology and transfer links are the important elements that influence video quality. So, to deliver video over the internet or another fixed capacity medium, it is essential to compress the video to more controllable bitrates (customarily in the 1-20 Mbps range). In this study, the video quality is examined using the H.265/HEVC compression standard, and the relationship between quality of video and bitrate flow is investigated using various constant rate factors, GOP patterns, quantization parameters, RC-lookahead, and other types of video motion sequences. The ultra-high-definition video source is used, down sampled and encoded at multiple resolutions of (3480x2160), (1920x1080), (1280x720), (704x576), (352x288), and (176x144). To determine the best H265 feature configuration for each resolution experiments were conducted that resulted in a PSNR of 36 dB at the specified bitrate. The resolution is selected by delivery (encoder resource) based on the end-user application. While video streaming adapted to the available bandwidth is achieved via embedding a controller with MPEG DASH protocol at the client-side. Video streaming Adaptation methods allow the delivery of content that is encoded at different representations of video quality and bitrate and then dividing each representation into chunks of time. Through this paper, we propose to utilize HTTP/2 as a protocol to achieve low latency video streaming focusing on live streaming video avoiding the problem of HTTP/1.

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Journal articles on the topic 'MPEG-DASH'

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