How Video Encoder Compute Efficiency Is Able To Impact Streaming UX Mark Donnigan VP Marketing Beamr

Read the original LinkedIn article here: How Video Encoder Computing Efficiency Can Impact Streaming Service Quality

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Mark Donnigan is Vice President of Marketing at Beamr, a high-performance video encoding innovation company.

Computer software application is the bedrock of every function and department in the enterprise; accordingly, software application video encoding is important to video streaming service operations. It's possible to enhance a video codec implementation and video encoder for two however rarely three of the pillars. It does state that to deliver the quality of video experience customers anticipate, video distributors will need to examine commercial options that have been performance optimized for high core counts and multi-threaded processors such as those readily available from AMD and Intel.

With so much upheaval in the distribution model and go-to-market service strategies for streaming entertainment video services, it may be tempting to push down the top priority stack choice of new, more efficient software video encoders. With software eating the video encoding function, calculate performance is now the oxygen needed to thrive and win versus a significantly competitive and congested direct-to-consumer (D2C) market.

How Video Encoder Computing Efficiency Can Impact Streaming Service Quality

Until public clouds and ubiquitous computing turned software-based video operations mainstream, the process of video encoding was carried out with purpose-built hardware.

And then, software ate the hardware ...

Marc Andreessen, the co-founder of Netscape and a16z the famous venture capital firm with investments in Foursquare, Skype, Twitter, box, Lyft, Airbnb, and other equally disruptive business, penned a short article for the Wall Street Journal in 2011 entitled "Why Software application Is Eating The World." A version of this post can be discovered on the site here.

"Six decades into the computer revolution, four years because the invention of the microprocessor, and twenty years into the rise of the modern-day Web, all of the innovation required to transform markets through software finally works and can be extensively delivered at global scale." Marc Andreessen
In following with Marc Andreessen's prediction, today, software-based video encoders have actually almost totally subsumed video encoding hardware. With software applications freed from purpose-built hardware and able to work on common computing platforms like Intel and AMD based x86 machines, in the data-center and virtual environments, it is totally accurate to say that "software application is consuming (or more appropriately, has actually consumed) the world."

What does this mean for an innovation or video operations executive?

Computer software is the bedrock of every function and department in the enterprise; accordingly, software video encoding is necessary to video streaming service operations. Software video encoders can scale without needing a linear boost in physical space and utilities, unlike hardware. And software application can be moved around the network and even whole data-centers in near real-time to satisfy capacity overruns or momentary rises. Software application is a lot more flexible than hardware.

When handling software-based video encoding, the three pillars that every video encoding engineer should deal with are bitrate performance, quality conservation, and calculating efficiency.

It's possible to optimize a video codec execution and video encoder for 2 however rarely three of the pillars. The majority of video encoding operations therefore concentrate on quality and bitrate performance, leaving the compute performance vector open as a sort of wild card. As you will see, this is no longer a competitive technique.

The next frontier is software application computing performance.

Bitrate effectiveness with high video quality needs resource-intensive tools, which will lead to slow operational speed or a substantial increase in CPU overhead. For a live encoding application where the encoder must run at high speed to reach 60 frames-per-second (FPS), a compromise in bitrate performance or outright quality is often required.

Codec complexity, such as that needed by HEVC, AV1, and the upcoming VVC, is outpacing bitrate efficiency improvements and this has actually created the need for video encoder performance optimization. Put another way, speed matters. Typically, this is not a location that video encoding professionals and image researchers have required to be worried about, but that is no longer the case.

Figure 1 illustrates the advantages of a software application encoding application, which, when all qualities are stabilized, such as FPS and unbiased quality metrics, can do two times as much deal with the precise same AWS EC2 C5.18 xlarge instance.

In this example, the open-source encoders x264 and x265 are compared to Beamr's AVC and HEVC encoders, Beamr 4, and Beamr 5.

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For services needing to encode live 4Kp60, one can see that it is possible with Beamr 5 but not with x265. Beamr 5 set to the x264 equivalent 'ultrafast' mode can encode four individual streams on a single AWS EC2 C5.18 xlarge instance while x265 operating in 'ultrafast' can not reach 60 FPS at 4K. As you can see in this poignant example, codec efficiency is straight associated to the quality of service as a result of fewer machines and less complex encoding structures needed.

For those services who are primarily worried about VOD and H. 264, the ideal half of the Figure 1 graphic programs the performance advantage of a performance enhanced codec execution that is set up to produce very high quality with a high bitrate efficiency. Here one can see approximately a 2x benefit with Beamr 4 compared to x264.

Video encoding calculate resources cost genuine money.

OPEX is thought about carefully by every video supplier. Suppose home entertainment experiences like live 4K streaming can not be delivered dependably as a result of an inequality between the video operations capability and the expectation of the customer.

Because of efficiency limitations with how the open-source encoder x265 makes use of compute cores, it is not possible to encode a live 4Kp60 video stream on a single maker. This doesn't indicate that live 4K encoding in software isn't possible. It does say that to provide the quality of video experience consumers expect, video More Info distributors will require to evaluate commercial options that have actually been performance enhanced for high core counts and multi-threaded processors such as those readily available from AMD and Intel.

The need for software to be enhanced for greater core counts was recently highlighted by AMD CTO Mark Papermaster in an interview with Tom's Hardware.

Video distributors desiring to use software application for the flexibility and virtualization choices they offer will come across overly complicated engineering obstacles unless they pick encoding engines where multi-processor scaling is belonging to the architecture of the software encoder.
Here is an article that shows the speed advantage of Beamr 5 over x265.

Things to think about concerning computing effectiveness and efficiency:

Do not go after the next more advanced codec without considering first the complexity/efficiency quotient. Dave Ronca, who led the encoding team at Netflix for 10 years and recently delegated join Facebook in a comparable capability, just recently released an exceptional post on the topic of codec intricacy entitled, "Encoder Intricacy Strikes the Wall." It's appealing to think this is only an issue for video streamers with 10s or hundreds of millions of customers, the exact same trade-off considerations need to be thought about regardless of the size of your operations. A 30% bitrate cost savings for a 1 Mbps 480p H. 264 profile will return a 300 Kbps bandwidth savings. While a 30% cost savings at 1080p (H. 264), which is encoded at 3.5 Mbps, will provide more than triple the return, at a 1 Mbps savings. The point is, we must carefully and systematically think about where we are investing our compute resources to get the optimum ROI possible.
A business software option will be developed by a dedicated codec engineering group that can balance the requirements of bitrate performance, quality, and compute efficiency. This is in plain contrast to open-source jobs where factors have different and specific top priorities and agendas. Precisely why the architecture of x264 and x265 can not scale. It was constructed to accomplish a different set of tradeoffs.
Insist internal groups and experts perform compute efficiency benchmarking on all software encoding options under consideration. The three vectors to measure are absolute speed (FPS), private stream density when FPS is held continuous, and the overall number of channels that can be developed on a single server using a small ABR stack such as 4K, 1080p, 720p, 480p, and 360p. All encoders should produce similar video quality throughout all tests.
The next time your technical team prepares a video encoder shoot out, make certain to ask what their test plan is for benchmarking the calculate efficiency (efficiency) of each service. With so much upheaval in the circulation model and go-to-market organisation plans for streaming home entertainment video services, it might be appealing to lower the concern stack selection of brand-new, more efficient software application video encoders. Forfeiting this work could have a genuine effect on a service's competitiveness and capability to scale to meet future entertainment service requirements. With software eating the video encoding function, compute efficiency is now the oxygen required to flourish and win versus a progressively competitive and congested direct-to-consumer (D2C) marketplace.

You can check out Beamr's software application video encoders today and get up to 100 hours of free HEVC and H. 264 video transcoding monthly. CLICK ON THIS LINK

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