2 research outputs found

    Network Performance in HTML5 Video Connections

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    [EN] Currently, most of remote education systems use video streaming as the main basis to support teaching. These emissions can be seen in devices with different hardware features such as personal computers, tablets or smartphones through networks with different capacities. The use of different web browsers and coding options can also influence the network performance. Therefore, the quality of the video displayed may be different. This work presents a practical study to establish the best combination of web browsers and containers to encode multimedia files for videos streaming in personal computers running Windows 7 and Windows 10 operating systems. For this, a video encoded with different codecs and compressed with different containers have been transmitted through a 1000BaseT network. Finally, the results are analyzed and compared to determine which would be the most efficient combination of parameters according to the resolution of the transmitted video.This work has been partially supported by the European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR and by the Ministerio de Educación, Cultura y Deporte , through the Convocatoria 2016 - Proyectos I+D+I - Programa Estatal De Investigación, Desarrollo e Innovación Orientada a los retos de la sociedad (Project TEC2016-76795-C6-4-R) and through the Convocatoria 2017 - Proyectos I+D+I - Programa Estatal de Investigación, Desarrollo e Innovación, convocatoria excelencia (Project TIN2017-84802-C2-1-P).Sendra, S.; Túnez-Murcia, AI.; Lloret, J.; Jimenez, JM. (2018). Network Performance in HTML5 Video Connections. Network Protocols and Algorithms. 10(3):43-62. https://doi.org/10.5296/npa.v10i3.13933S436210

    Using HTML5 for M-Learning Environments

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    [EN] Currently, there are several remote learning platforms based on video streaming. In most situations, these multimedia resources are displayed using smartphones that can be wirelessly connected to networks with deficient capabilities. In this scenario, the levels of Quality of Service (QoS) and Quality of Experience (QoE) perceived by users can be very low. Therefore, with the aim of finding the most efficient combination of Web browsers, codecs and containers, this paper presents a study to analyze how the encoding used in videos can affect the network performance in terms of data transfer rate, transmission delays, transmission errors and throughput. The tests are performed using mobile devices with Android as the operating system. Different Web browsers, containers and codecs supported by HyperText Markup Language V.5 (HTML5) are also included in this study. The browsers used in this study are Google Chrome, Firefox and Opera while the containers considered to carry out our tests are MP4 and WebM. Results show that MP4 could be a good option to transmit high resolution videos while WebM would be the best option for low quality videos.This work has been partially supported by the European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR, by the ¿Ministerio de Economia, Industria y Competitividad¿, through the ¿Convocatoria 2016 - Proyectos I+D+I - Programa Estatal De Investigación, Desarrollo e Innovación Orientada a los retos de la sociedad¿ (Project TEC2016- 76795-C6-4-R), through the ¿Convocatoria 2017 - Proyectos I+D+I - Programa Estatal de Investigación, Desarrollo e Innovación, convocatoria excelencia¿ (Project TIN2017- 84802-C2-1-P) and by the ¿Ministerio de Ciencia, Innovación y Universidades¿ through the ¿Ayudas para la adquisición de equipamiento científico-técnico, Subprograma estatal de infraestructuras de investigación y equipamiento científico-técnico (plan Estatal I+D+i 2017- 2020)¿ (project EQC2018-004988-P).Sendra, S.; Lloret, J.; Túnez-Murcia, AI.; García, L. (2019). Using HTML5 for M-Learning Environments. IARIA XPS Press. 65-70. http://hdl.handle.net/10251/180624S657
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