Conceptually, HTTP Live Streaming consists of three parts: the server component, the distribution component, and the client software. Newer car models make use of environmental data for real-time adjustments in traction or steering. This book is a comprehensive collection of topics including media coding, wireless/mobile video, P2P media streaming, and applications of streaming media. It’s natural, then, to want to collect and analyze information from these events as a stream of data. Whether you’re live streaming to YouTube or Facebook Live, Twitch, Twitter, or even Vimeo Live – a good space to live stream from is as important as where you live stream to. How much more effective could a discount coupon be if it’s offered not only to the right person but also at just the right moment? Chapter 3 entitled “2-D scalable multiple description coding for Robust H.264/SVC video communications” investigates two popular techniques for error-resilient H.264/SVC video transmission over packet erasure networks, i.e., layered video coding (LVC) and scalable multiple description coding (SMDC). Simple is ideal for beginners and producers with smaller workflows (1-2 cameras, few graphics, some video playback). But as it turns out, that’s not the only advantage to be gained from using streaming data, as we discuss later in this chapter. Also any recommendations for a video player? The most essential requirement of stream processing is one or more sources of data, also known as producers. Chapter 2 with the title “Adapting multimedia streaming to changing networkconditions” focuses on the application layer techniques that adapt to the changes in network conditions, including layered encoding, rate shaping, adaptive error control, and smoothing. For instance, compared with P2P based file sharing applications, streaming over P2P networks imposes tighter timing requirements. Knowing that there is a slow-down caused by an accident on a particular freeway during the morning commute is useful to a driver while the incident and its effect on traffic are happening. These examples underline one of the main benefits of real-time analysis of streaming data: the ability to respond quickly to events. Formula I racecars are connected cars. Finally, the block diagram of Dirac’s bitstream syntax is presented. Perhaps the most disruptive idea presented here is that streaming architecture should not be limited to specialized real-time applications. The following diagram presents the live streaming video architecture you can automatically deploy using the solution's implementation guide and accompanying AWS CloudFormation template. I am very new to media servers, so I wondering if FMS (flash media server) or Wowza media server solve this problem or is a self hosted solution simpler? Chapter 11 entitled “Peer-to-peer networks – protocols, cooperation and competition” discusses P2P systems that have been deployed in file sharing and real-time media streaming. Time-value of information is significant in many use cases where the value of particular insights diminishes very quickly after the event. An effective message-passing technology decouples the sources and consumers, which is a key to agility. A streaming solution is a platform that hosts your live stream. Operators at Mission Control were able to activate and direct the video camera on the LRV from their position on Earth, about a quarter million miles away. After more than a decade of development, substantial advances have been achieved in the diverse areas of streaming media, and a number of promising research directions are springing up. But with the new design of streaming architecture, multiple consumers might make use of this data right away, in addition to the real-time analytics program. Call +1 (646) 490-1679 using the PIN Contact Us Livestream Help Center; Livestream Studio; Graphic Overlays ; Building a Picture-in-Picture Graphic When doing a multi-camera production, many producers sometimes like to show two or more camera shots at the same time. ). Trucks can be deployed on customized schedules that better match actual needs, thus optimizing operations with regard to drivers’ time, gas consumption, and equipment usage. Streaming data and real-time analytics formed a fairly specialized undertaking rather than a widespread approach. As can be seen from the above introductions, this book spans a number of interdependent and emerging topics in streaming media. During the past decade, the media communication system has evolved from the conventional desktop computing and wired communication to mobile computing and wireless communication. The improvements in these technologies are not subtle. The aim is to exploit streaming data and new technologies to be able to respond to life in the moment. The main goal in each of these sample situations is to gain actionable insights in a timely manner. Emily Jiang performs live coding of building 12-factor microservices using MicroProfile programming mode and gets them running Open Liberty and Quarkus. (based on question comments) My suggestion would be to use a streaming video CDN that supports mobile devices and has edge transcoding. In our healthcare example, there are multiple data sources coming from medical tests such as EKGs, blood panels, or MRI machines that feed in a stream of test results. This data informs the manufacturer of how well the part performs over its lifetime, which in turn can influence changes in design or manufacture. For each pattern, well describe how it applies to a real-world use-case, the best practices and considerations for implementation, and cost estimates. For example, partnerships between British Railways, Cisco Systems, and telecommunication companies are building connected systems to reduce risk for British trains. Instead, organizations benefit by adopting this streaming approach as an essential aspect of efficient, overall architecture. The key ideas to keep in mind about building an effective system that exploits streaming data are the following: Real-time analysis of streaming data can empower you to react to events and insights as they happen. The benefits of handling streaming data well are not limited to getting in-the-moment actionable insights, but that is one of the most widely recognized goals. What’s the difference in a batch versus a streaming process? In this whitepaper we will explore three stream processing patterns using a serverless approach. When it comes to streaming data, don’t just use it and throw it away. Here is a basic diagram for the Kappa architecture that shows two layers system of operation for this data processing architecture. One of the reasons modern systems can now more easily handle streaming data is improvements in the way message-passing systems work. According to the scope of those chapters, this book is organized into four sections, namely media coding, wireless/mobile video, P2P media streaming, and applications of streaming media. Beginning with the introduction to the motivation of the cross-layer design, this chapter covers fundamental issues, challenges and solutions of the cross-layer approach to video streaming systems for its practical employment. This facility is depicted in Figure 1-3. This chapter shows how streaming can take place in those challenging environments. One of the most important and widespread situations in which it is important to be able to carry out low-latency analytics on streaming data is for defending data security. This is true in part because the new systems decouple dependencies between processes that deliver data and processes that make use of data. HTTP Streaming Architecture. Consider the opportunities for improving customer experience and raising a customer’s tendency to buy something as they pass through a brick-and-mortar store. With the right technologies, it’s possible to replicate streaming data to geo-distributed data centers. A UML Class Diagram showing Video Streaming System-CLASS. This approach not only saves money; in some cases, it may save lives. Live stream using WebRTC (Data Flow Diagram) Use Creately’s easy online diagram editor to edit this diagram, collaborate with others and export results to multiple image formats. An Huawei Cloud architecture diagram is a visualization of your cloud-based solution that uses Huawei Cloud. Based on these restrictions, a comprehensive technical overview is given, finally leading to a taxonomy of appropriate interaction approaches. The proposed approach mixes theoretical results, when available, with empirical observations in order to give the best possible insights. Perhaps the customer would be encouraged by a discount coupon, particularly if it were for an item or service that really appealed to them. Waze is just one straightforward example of the time-value of information: the value of that particular knowledge decreases quickly with elapsed time. AWS provides a real-time subtitling solution for live streaming video content that combines Amazon Transcribe, Amazon Translate, and AWS Lambda to build a serverless architecture that automatically generates multi-language subtitles for your live streaming videos. It is challenging to maintain the quality-of-service (QoS) of streaming applications over bandwidth constrained, error prone and highly dynamic networks. Industrial settings provide examples from the IoT where streaming data is of value in a variety of ways. Stream-based computing is becoming the norm for data-driven organizations. You can edit this UML Class Diagram using Creately diagramming tool and include in your report/presentation/website. In our healthcare example, there are multiple data sources coming from medical tests such as EKGs, blood panels, or MRI machines that feed in a stream of test results. At the heart of modern streaming architecture design style is a messaging capability that uses many sources of streaming data and makes it available on demand by multiple consumers. Chapter 1 entitled “Scalable video coding: techniques and applications for adaptive streaming” covers the topic of making use of scalable video content in streaming frameworks and applications. Hotels and other service organizations are also beginning to look at how these approaches can help them better recognize return customers or be alert to constantly changing levels needed for service at check-in or in the hotel lounge. Chapter 8 entitled “Robust video streaming over MANET and VANET” studies the technical issues of video streaming over both Mobile Ad Hoc Networks (MANETs) and Vehicular Ad Hoc Networks (VANETs). Huge volumes of sensor data for a wide variety of parameters are collected and stored, mainly intended to be used in case of an accident or malfunction. That left plenty of time for the impact of the coupon to “wear off” as the customer became distracted by other issues, making even this targeted approach fairly hit-or-miss. As a result, the end user can enjoy on-the-fly representation of multimedia content without downloading the entire file beforehand. There are many situations where in order for a response to be of value, it needs to happen quickly. Consider for a moment this simple analogy: compare data to water that may be collected in a bucket and delivered to the user versus water that flows to the user via a pipe. Streaming media is one of the most exciting and active research topics with continuing significant progress in the multimedia area, where streaming media has been experiencing dramatic growth and stepped into mainstream media communications. It was NASA’s Lunar Roving Vehicle (LRV), shown in action on the moon in the images of Figure 1-1. Data such as information about train speed, location, and function as well as track conditions are transmitted as continuous streams of data that make it possible for computer applications to provide low-latency insights as events happen. Conceptually, HTTP Live Streaming consists of three parts: the server … Healthcare provides a good example of the way multiple consumers might want to use the same data stream at different times. Kappa Architecture. In Chapter 17 “Perspectives of the application of video streaming to education”, the author analyses the application of video-streaming in video-lectures. Chapter 12 with the title “A survey of P2P data-driven live streaming systems” presents a survey of “data-driven” or “unstructured” peer-to-peer live media streaming techniques, which have been introduced in the recent years to overcome the limitation of classic application-layer tree overlays. The latter three points (persistence of streaming data, geo-distributed replication, and the central importance of the correct messaging layer) are relatively new aspects of the preferred design for streaming architectures. You can edit this template and create your own diagram. These approaches are not limited to retail marketing. Applications should use the Sample Grabber filter or implement a custom filter to get data from a DirectShow filter graph. In the case of the modern and near-future personal automobile, it will likely be exchanging information with several different audiences. The authors also describe choices one can make in terms of network architecture and then focus on the input parameters used to evaluate network conditions and to perform the adaptation. These included overall direction and distance back to the Lunar Module that would carry them home. What does the video streaming app technology stack consist of? Again, I am noob when it comes to media servers and stuff. In the past, in order to handle data analysis at scale, data was collected and analyzed in batch. Take for instance the situation of crowd-sourced navigation and traffic updates provided by the mobile application known as Waze. The possibilities are intriguing. Nowadays, streaming media based services are becoming the mainstream of multimedia consumption. Get Streaming Architecture now with O’Reilly online learning. But for many use cases, batch does not sufficiently reflect the way life happens. With anomaly detection techniques and very low-latency technologies, cyber attacks by humans or robots may be discovered quickly so that action can be taken to thwart the intrusion or at least to mitigate loss. Do I even need a full blown media server? As it turns out, stream-based architectures additionally provide fundamental and powerful benefits. Data Management At a time when drivers on Earth navigated using paper road maps (assuming they could successfully unfold and refold them) and checked their oil, coolant, and tire pressure levels manually, the astronaut drivers of the LRV navigated on the moon by continuously sending data on direction and distance to a computer that calculated all-important insights needed for the mission. 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