The Clavis Aurea of Internet Video Delivery: HTTP Adaptive Streaming (How Machine Learning ML is used in Video Encoding Part 2) - MarkTechPost

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We discussed what a video is, wherefore it is indispensable to trim its size, and however this compression is done via video encoding. One mightiness beryllium funny astir however each this video contented is delivered to our devices, and this is what we volition reply successful this post.

The astir straightforward mode to nonstop a video from a server to a lawsuit implicit the Internet is by downloading it, meaning that the full video record volition beryllium sent astatine once. It is beauteous casual to acceptable up, conscionable a elemental record transfer. However, it has immoderate downsides, making it impractical successful existent life. First, the video cannot beryllium played earlier the full record is transmitted. Imagine spending hours to get the video record lone to recognize you don’t adjacent privation to ticker it: wasted information and hours. Moreover, you request to store that full video connected your PC, which takes up a noticeable chunk of your retention space. So basically, downloading is not an enactment for the fast-consumption video inclination nowadays. What is the alternative, then?

The alternate is streaming. This way, the video is divided into tiny chunks called segments (usually 2 to 4 seconds) and stored connected the server. Whenever the lawsuit requests to ticker a video, the archetypal conception is sent, which has a fraction of the full video size. Once the lawsuit receives this archetypal segment, it is consumed (not stored), and the playback tin commencement immediately. If the lawsuit wants to proceed watching the video, it tin petition the adjacent segment, devour it, petition the adjacent one, and truthful on. Therefore, streaming is faster to start, does not usage lawsuit retention space, and the wasted information and clip are astir minimal.

Hyper-text-transfer protocol (HTTP) is the backbone of the Internet. It’s the superior connection protocol and defines however messages are formatted and transmitted. Every website you sojourn connected the Internet is designed to beryllium transferred via HTTP. 

HTTP Adaptive Streaming (HAS) is the clavis aurea (the aureate key) of the Internet video delivery; without it, it wouldn’t beryllium imaginable to bask the videos. 

In HAS, the archetypal measurement is to hole videos connected the server. Normally you tin conscionable support the video arsenic it is and disagreement it into segments to marque it acceptable for streaming. However, the cardinal present is being adaptive, so we indispensable guarantee we springiness options to the client. To bash so, each video is encoded successful different qualities, divided into smaller segments, and stored connected the server. 

On the flip broadside of the network, we person the client. You tin deliberation of the client arsenic idiosyncratic ordering nutrient successful a restaurant. Whenever you locomotion into a restaurant, you volition beryllium overwhelmed by the paper options and ideate what it would consciousness similar to request and bask each azygous 1 of them. In reality, though, you person immoderate limits (e.g., wealth successful your pocket, your hunger level, your allergies, what you are craving to eat, etc.), and those limits usher your request. As those limits alteration implicit time, similar you get your paycheck, you tin alteration your request and bask the nutrient of antithetic quality.

Similar to this analogy, erstwhile the lawsuit wants to petition a video from the server, it needs to see the limitations and find what the champion enactment for itself is. It examines the underlying web conditions (e.g., bandwidth, delay, etc.) and show properties (e.g., resolution) and requests the astir suitable conception from the server. However, determination is nary last determination here. As the conditions change, similar the bandwidth increase, the lawsuit tin ever petition a antithetic prime conception to adapt to the situation. This flexibility makes HAS truthful powerful, which is wherefore it is the de facto solution for Internet video delivery.

This was a little instauration to HTTP Adaptive Streaming, and present we cognize however the video is prepared and delivered connected the Internet. We tin present dive into however we tin amended video encoding with the assistance of the beatified grail, instrumentality learning, successful the remaining of this series.

Ekrem Çetinkaya received his B.Sc. successful 2018 and M.Sc. successful 2019 from Ozyegin University, Istanbul, Türkiye. He wrote his M.Sc. thesis astir representation denoising utilizing heavy convolutional networks. He is presently pursuing a Ph.D. grade astatine the University of Klagenfurt, Austria, and moving arsenic a researcher connected the ATHENA project. His probe interests see heavy learning, machine vision, and multimedia networking.

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