Delivering Live and On-Demand Smooth Streaming
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Advances in Social Science, Education and Humanities Research, volume 123 2nd International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2017) The Application of New Media Technology in the Ideological and Political Education of College Students Hao Lu 1, a 1 Jiangxi Vocational & Technical College of Information Application, Nanchang, China [email protected] Keywords: new media; application; the Ideological and Political Education Abstract: With the development of science and technology, new media technology has been more widely used in teaching. In particular, the impact of new media technology on college students’ ideological and political education is very important. The development of new media technology has brought the opportunities to college students’ ideological and political education while bringing the challenges. Therefore, it is an urgent task to study on college students’ ideological and political education under the new media environment. 1. Introduction New media technology, relative to traditional media technology, is the emerging electronic media technology on the basis of digital technology, internet technology, mobile communication technology, etc. it mainly contains fetion, wechat, blog, podcast, network television, network radio, online games, digital TV, virtual communities, portals, search engines, etc. With the rapid development and wide application of science and technology, new media technology has profoundly affected students’ learning and life. Of course, it also brings new challenges and opportunities to college students’ ideological and political education. Therefore, how to better use the new media technology to improve college students’ ideological and political education becomes the problems needing to be solving by college moral educators. 2. The intervention mode and its characteristics of new media technology New media technology, including blog, instant messaging tools, streaming media, etc, is a new network tools and application mode and instant messaging carriers under the network environment. -
Audience Affect, Interactivity, and Genre in the Age of Streaming TV
. Volume 16, Issue 2 November 2019 Navigating the Nebula: Audience affect, interactivity, and genre in the age of streaming TV James M. Elrod, University of Michigan, USA Abstract: Streaming technologies continue to shift audience viewing practices. However, aside from addressing how these developments allow for more complex serialized streaming television, not much work has approached concerns of specific genres that fall under the field of digital streaming. How do emergent and encouraged modes of viewing across various SVOD platforms re-shape how audiences affectively experience and interact with genre and generic texts? What happens to collective audience discourses as the majority of viewers’ situated consumption of new serial content becomes increasingly accelerated, adaptable, and individualized? Given the range and diversity of genres and fandoms, which often intersect and overlap despite their current fragmentation across geographies, platforms, and lines of access, why might it be pertinent to reconfigure genre itself as a site or node of affective experience and interactive, collective production? Finally, as studies of streaming television advance within the industry and academia, how might we ponder on a genre-by- genre basis, fandoms’ potential need for time and space to collectively process and interact affectively with generic serial texts – in other words, to consider genres and generic texts themselves as key mediative sites between the contexts of production and those of fans’ interactivity and communal, affective pleasure? This article draws together threads of commentary from the industry, scholars, and culture writers about SVOD platforms, emergent viewing practices, speculative genres, and fandoms to argue for the centrality of genre in interventions into audience studies. -
Streaming Media Seminar – Effective Development and Distribution Of
Proceedings of the 2004 ASCUE Conference, www.ascue.org June 6 – 10, 1004, Myrtle Beach, South Carolina Streaming Media Seminar – Effective Development and Distribution of Streaming Multimedia in Education Robert Mainhart Electronic Classroom/Video Production Manager James Gerraughty Production Coordinator Kristine M. Anderson Distributed Learning Course Management Specialist CERMUSA - Saint Francis University P.O. Box 600 Loretto, PA 15940-0600 814-472-3947 [email protected] This project is partially supported by the Center of Excellence for Remote and Medically Under- Served Areas (CERMUSA) at Saint Francis University, Loretto, Pennsylvania, under the Office of Naval Research Grant Number N000140210938. Introduction Concisely defined, “streaming media” is moving video and/or audio transmitted over the Internet for immediate viewing/listening by an end user. However, at Saint Francis University’s Center of Excellence for Remote and Medically Under-Served Areas (CERMUSA), we approach stream- ing media from a broader perspective. Our working definition includes a wide range of visual electronic multimedia that can be transmitted across the Internet for viewing in real time or saved as a file for later viewing. While downloading and saving a media file for later play is not, strictly speaking, a form of streaming, we include that method in our discussion of multimedia content used in education. There are numerous media types and within most, multiple hardware and software platforms used to develop and distribute video and audio content across campus or the Internet. Faster, less expensive and more powerful computers and related tools brings the possibility of content crea- tion, editing and distribution into the hands of the content creators. -
Streaming Media for Web Based Training
DOCUMENT RESUME ED 448 705 IR 020 468 AUTHOR Childers, Chad; Rizzo, Frank; Bangert, Linda TITLE Streaming Media for Web Based Training. PUB DATE 1999-10-00 NOTE 7p.; In: WebNet 99 World Conference on the WWW and Internet Proceedings (Honolulu, Hawaii, October 24-30, 1999); see IR 020 454. PUB TYPE Reports Descriptive (141) Speeches/Meeting Papers (150) EDRS PRICE MF01/PC01 Plus Postage. DESCRIPTORS *Computer Uses in Education; Educational Technology; *Instructional Design; *Material Development; *Multimedia Instruction; *Multimedia Materials; Standards; *Training; World Wide Web IDENTIFIERS Streaming Audio; Streaming Video; Technology Utilization; *Web Based Instruction ABSTRACT This paper discusses streaming media for World Wide Web-based training (WBT). The first section addresses WBT in the 21st century, including the Synchronized Multimedia Integration Language (SMIL) standard that allows multimedia content such as text, pictures, sound, and video to be synchronized for a coherent learning experience. The second section covers definitions, history, and current status. The third section presents SMIL as the best direction for WBT. The fourth section describes building a WBT module,using SMIL, including interface design, learning materials content design, and building the RealText[TM], RealPix[TM], and SMIL files. The fifth section addresses technological issues, including encoding content to RealNetworks formats, uploading files to stream server, and hardware requirements. The final section summarizes future directions. (MES) Reproductions supplied by EDRS are the best that can be made from the original document. U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement PERMISSION TO REPRODUCE AND EDUCATIONAL RESOURCES INFORMATION DISSEMINATE THIS MATERIAL HAS CENTER (ERIC) BEEN GRANTED BY fH This document has been reproduced as received from the person or organization G.H. -
Bosch Intelligent Streaming
Intelligent streaming | Bitrate-optimized high-quality video 1 | 22 Intelligent streaming Bitrate-optimized high-quality video – White Paper Data subject to change without notice | May 31st, 2019 BT-SC Intelligent streaming | Bitrate-optimized high-quality video 2 | 22 Table of contents 1 Introduction 3 2 Basic structures and processes 4 2.1 Image capture process ..................................................................................................................................... 4 2.2 Image content .................................................................................................................................................... 4 2.3 Scene content .................................................................................................................................................... 5 2.4 Human vision ..................................................................................................................................................... 5 2.5 Video compression ........................................................................................................................................... 6 3 Main concepts and components 7 3.1 Image processing .............................................................................................................................................. 7 3.2 VCA ..................................................................................................................................................................... 7 3.3 Smart Encoder -
Isize Bitsave:High-Quality Video Streaming at Lower Bitrates
Datasheet v20210518 iSIZE BitSave: High-Quality Video Streaming at Lower Bitrates iSIZE’s innovative BitSave technology comprises an AI-based perceptual preprocessing solution that allows conventional, third-party encoders to produce higher quality video at lower bitrate. BitSave achieves this by preprocessing the video content before it reaches the video encoder (Fig. 1), such that the output after compressing with any standard video codec is perceptually optimized with less motion artifacts or blurring, for the same or lower bitrate. BitSave neural networks are able to isolate areas of perceptual importance, such as those with high motion or detailed texture, and optimize their structure so that they are preserved better at lower bitrate by any subsequent encoder. As shown in our recent paper, when integrated as a preprocessor prior to a video encoder, BitSave is able to reduce bitrate requirements for a given quality level by up to 20% versus that encoder. When coupled with open-source AVC, HEVC and AV1 encoders, BitSave allows for up to 40% bitrate reduction at no quality compromise in comparison to leading third-party AVC, HEVC and AV1 encoding services. Lower bitrates equate to smaller filesizes, lower storage, transmission and distribution costs, reduced energy consumption and more satisfied customers. Source BitSave Encoder Delivery AI-based pre- Single pass processing processing prior One frame latency per content for an to encoding (AVC, entire ABR ladder HEVC, VP9, AV1) Improves encoding quality Integrated within Intel as measured by standard OpenVINO, ONNX and Dolby perceptual quality metrics Vision, easy to plug&play (VMAF, SSIM, VIF) within any existing workflow Figure 1. -
Navigating Youth Media Landscapes: Challenges and Opportunities for Public Media
Navigating Youth Media Patrick Davison Fall 2020 Monica Bulger Landscapes Mary Madden Challenges and Opportunities for Public Media The Joan Ganz Cooney Center at Sesame Workshop The Corporation for Public Broadcasting About the AuthorS Patrick Davison is the Program Manager for Research Production and Editorial at Data & Society Research Institute. He holds a PhD from NYU’s department of Media, Culture, and Communication, and his research is on the relationship between networked media and culture. Monica Bulger is a Senior Fellow at the Joan Ganz Cooney Center at Sesame Workshop. She studies youth and family media literacy practices and advises policy globally. She has consulted on child online protection for UNICEF since 2012, and her research encompasses 16 countries in Asia, the Middle East, North Africa, South America, North America, and Europe. Monica is an affiliate of the Data & Society Research Institute in New York City where she led the Connected Learning initiative. Monica holds a PhD in Education and was a Research Fellow at the Oxford Internet Institute and the Berkman Klein Center for Internet & Society at Harvard University. Mary Madden is a veteran researcher, writer and nationally- recognized expert on privacy and technology, trends in social media use, and the impact of digital media on teens and parents. She is an Affiliate at the Data & Society Research Institute in New York City, where she most recently directed an initiative to explore the effects of data-centric systems on Americans’ health and well-being and led several studies examining the intersection of privacy and digital inequality. Prior to her role at Data & Society, Mary was a Senior Researcher for the Pew Research Center’s Internet, Science & Technology team in Washington, DC and an Affiliate at the Berkman Klein Center for Internet & Society at Harvard University. -
Towards Optimal Compression of Meteorological Data: a Case Study of Using Interval-Motivated Overestimators in Global Optimization
Towards Optimal Compression of Meteorological Data: A Case Study of Using Interval-Motivated Overestimators in Global Optimization Olga Kosheleva Department of Electrical and Computer Engineering and Department of Teacher Education, University of Texas, El Paso, TX 79968, USA, [email protected] 1 Introduction The existing image and data compression techniques try to minimize the mean square deviation between the original data f(x; y; z) and the compressed- decompressed data fe(x; y; z). In many practical situations, reconstruction that only guaranteed mean square error over the data set is unacceptable. For example, if we use the meteorological data to plan a best trajectory for a plane, then what we really want to know are the meteorological parameters such as wind, temperature, and pressure along the trajectory. If along this line, the values are not reconstructed accurately enough, the plane may crash; the fact that on average, we get a good reconstruction, does not help. In general, what we need is a compression that guarantees that for each (x; y), the di®erence jf(x; y; z)¡fe(x; y; z)j is bounded by a given value ¢, i.e., that the actual value f(x; y; z) belongs to the interval [fe(x; y; z) ¡ ¢; fe(x; y; z) + ¢]: In this chapter, we describe new e±cient techniques for data compression under such interval uncertainty. 2 Optimal Data Compression: A Problem 2.1 Data Compression Is Important At present, so much data is coming from measuring instruments that it is necessary to compress this data before storing and processing. -
Fundamentals of Streaming Media Systems
Chapter 1 FUNDAMENTALS OF STREAMING MEDIA SYSTEMS Multimedia (MM) systems utilize audio and visual information, such as video, audio, text, graphics, still images, and animations to provide effec- tive means for communication. These systems utilize multi-human senses in conveying information, and they play a major role in educational ap- plications (such as e-learning and distance learning), library information systems (such as digital library systems), entertainment systems (such as Video-On-Demand and interactive TV), communication systems (such as mobile phone multimedia messaging), military systems (such as Advanced Leadership Training Simulation), etc. Due to the exponential improvements of the past few years in solid state technology (i.e., processor and memory) as well as increased bandwidth and storage capacities of modern magnetic disk drives, it has been technically feasible to implement these systems in ways we only could have dreamed about a decade ago. Achallenging task when implementing MM systems is to support the sustained bandwidth required to display Streaming Media (SM) objects, such as video and audio objects. Unlike traditional data types, such as records, text and still images, SM objects are usually large in size. For example, a two- hour MPEG-2 encoded movie requires approximately 3.6 gigabytes (GByte) of storage (at a display rate of 4 megabits per second (Mb/s)). Figure 1.1 compares the space requirements for ninety minute video clips encoded in different industry standard digital formats. Second, the isochronous nature of SM objects requires timely, real-time display of data blocks at a pre- specified rate. For example, the NTSC video standard requires that 30 video frames per second be displayed to a viewer. -
Adaptive Bitrate Streaming Over Cellular Networks: Rate Adaptation and Data Savings Strategies
Adaptive Bitrate Streaming Over Cellular Networks: Rate Adaptation and Data Savings Strategies Yanyuan Qin, Ph.D. University of Connecticut, 2021 ABSTRACT Adaptive bitrate streaming (ABR) has become the de facto technique for video streaming over the Internet. Despite a flurry of techniques, achieving high quality ABR streaming over cellular networks remains a tremendous challenge. First, the design of an ABR scheme needs to balance conflicting Quality of Experience (QoE) metrics such as video quality, quality changes, stalls and startup performance, which is even harder under highly dynamic bandwidth in cellular network. Second, streaming providers have been moving towards using Variable Bitrate (VBR) encodings for the video content, which introduces new challenges for ABR streaming, whose nature and implications are little understood. Third, mobile video streaming consumes a lot of data. Although many video and network providers currently offer data saving options, the existing practices are suboptimal in QoE and resource usage. Last, when the audio and video arXiv:2104.01104v2 [cs.NI] 14 May 2021 tracks are stored separately, video and audio rate adaptation needs to be dynamically coordinated to achieve good overall streaming experience, which presents interesting challenges while, somewhat surprisingly, has received little attention by the research community. In this dissertation, we tackle each of the above four challenges. Firstly, we design a framework called PIA (PID-control based ABR streaming) that strategically leverages PID control concepts and novel approaches to account for the various requirements of ABR streaming. The evaluation results demonstrate that PIA outperforms state-of-the-art schemes in providing high average bitrate with signif- icantly lower bitrate changes and stalls, while incurring very small runtime overhead. -
Who to See @ IBC
sponsored content Streaming Media magazine’s Who to See @ IBC IF YOU ARE HEADING TO IBC and Flyover Pods looking to find top companies specialising in online video products and services, look no further. Here’s this year’s list of our sponsors that have an exhibition presence amongst the sea of over 1,700 companies fighting for attention. Streaming Media magazine will once again be at IBC this year. Visit us in the newly-created flyover walkway between Halls 7 and 8. We are located in Pod MP3, so stop by to say hello, chat with us about Streaming Media magazine, and pick up information on our upcoming conferences: Streaming Media West and Live Streaming Summit, which will be held in Los Angeles, Calif., at the Westin Bonaventure, 19–20 Nov. You can also visit our website at StreamingMedia.com/Conferences/West2019 to get the latest information about speakers, sessions, and exhibitors. If you’d like to meet with us, please don’t hesitate to email us at [email protected]. Archiware is a manufacturer of high quality, easy to use data management software, based in Munich, Germany. Focussing on the M&E industry, Archiware’s P5 Axinom is a digital solutions provider in the media and software suite includes modules for Archive, entertainment industry, serving the industry with scalable and robust products for content management, Backup and Cloning. P5 is compatible with virtually and protection. Our products power the biggest media, any LTO Tape and Disk storage, several Cloud providers broadcast, and telecommunications organizations in and numerous Media Asset Management products. -
Reliable Streaming Media Delivery
WHITE PAPER Reliable Streaming Media Delivery www.ixiacom.com 915-1777-01 Rev B January 2014 2 Table of Contents Overview ................................................................................................................ 4 Business Trends ..................................................................................................... 6 Technology Trends ................................................................................................. 7 Building in Reliability .............................................................................................. 8 Ixia’s Test Solutions ............................................................................................... 9 Streaming Media Test Scenarios ........................................................................... 11 Conclusion .............................................................................................................13 3 Overview Streaming media is an evolving set of technologies that deliver multimedia content over the Internet and private networks. A number of service businesses are dedicated to streaming media delivery, including YouTube, Brightcove, Vimeo, Metacafe, BBC iPlayer, and Hulu. Streaming video delivery is growing dramatically: according to the comScore Video Metrix1, Americans viewed a significantly higher number of videos in 2009 than in 2008 (up 19%) due to both increased content consumption and the growing number of video ads delivered. In January of 2010, more than 170 million viewers watched videos