Ways Video Encoder Computing Efficiency Can Improve Streaming UX Mark Donnigan Vice President Marketing Beamr

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

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Mark Donnigan is VP Marketing for Beamr, a high-performance video encoding technology company.

Computer system software is the bedrock of every function and department in the business; appropriately, software video encoding is important to video streaming service operations. It's possible to enhance a video codec application and video encoder for two but rarely three of the pillars. It does say that to provide the quality of video experience consumers expect, video suppliers will need to assess business options that have actually been efficiency enhanced for high core counts and multi-threaded processors such as those offered from AMD and Intel.

With so much upheaval in the circulation model and go-to-market service strategies for streaming entertainment video services, it may be tempting to push down the concern stack choice of brand-new, more effective software application video encoders. With software application eating the video encoding function, compute performance is now the oxygen needed to flourish and win versus an increasingly competitive and crowded direct-to-consumer (D2C) marketplace.

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 performed with purpose-built hardware.

And after that, software application consumed the hardware ...

Marc Andreessen, the co-founder of Netscape and a16z the famous endeavor capital company with financial investments in Foursquare, Skype, Twitter, box, Lyft, Airbnb, and other similarly disruptive companies, penned a short article for the Wall Street Journal in 2011 titled "Why Software Is Eating The World." A variation of this post can be discovered on the a16z.com site here.

"6 years into the computer revolution, four years since the innovation of the microprocessor, and twenty years into the rise of the modern-day Internet, all of the technology required to transform markets through software lastly works and can be commonly delivered at global scale." Marc Andreessen
In following with Marc Andreessen's prophecy, today, software-based video encoders have actually nearly completely subsumed video encoding hardware. With software applications released from purpose-built hardware and able to work on ubiquitous computing platforms like Intel and AMD based x86 makers, in the data-center and virtual environments, it is totally accurate to say that "software is eating (or more appropriately, has consumed) the world."

However what does this mean for a technology or video operations executive?

Computer system software application is the bedrock of every function and department in the business; accordingly, software application video encoding is vital to video streaming service operations. Software application video encoders can scale without needing a direct boost in physical area and utilities, unlike hardware. And software can be walked around the network and even entire data-centers in near real-time to fulfill capacity overruns or short-lived rises. Software is a lot more versatile than hardware.

When handling software-based video encoding, the three pillars that every video encoding engineer must resolve are bitrate effectiveness, quality conservation, and calculating performance.

It's possible to enhance a video codec implementation and video encoder for 2 however rarely three of the pillars. The majority of video encoding operations thus focus on quality and bitrate performance, leaving the calculate effectiveness vector open as a sort of wild card. But as you will see, this is no longer a competitive technique.

The next frontier is software application computing efficiency.

Bitrate efficiency with high video quality needs resource-intensive tools, which will result in slow functional speed or a substantial boost 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 efficiency or absolute quality is often needed.

Codec complexity, such as that needed by HEVC, AV1, and the forthcoming VVC, is outpacing bitrate efficiency developments and this has actually created the requirement for video encoder performance optimization. Put another way, speed matters. Traditionally, this is not an area that video encoding specialists and image researchers require to be interested in, however that is no longer the case.

Figure 1 illustrates the advantages of a software encoding implementation, which, when all attributes are normalized, such as FPS and objective quality metrics, can do twice as much work on the precise same AWS EC2 C5.18 xlarge circumstances.

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 requiring to encode live 4Kp60, one can see that it is possible with Beamr 5 but not with x265. Beamr 5 set to the x264 comparable 'ultrafast' mode can encode 4 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 an outcome of less makers and less complex Learn more now encoding structures required.

For those services who are primarily interested in VOD and H. 264, the right half of the Figure 1 graphic programs the performance advantage of an efficiency enhanced codec implementation that is established to produce really high quality with a high bitrate performance. Here one can see up to a 2x benefit with Beamr 4 compared to x264.

Video encoding calculate resources cost genuine money.

OPEX is considered thoroughly by every video distributor. Expect home entertainment experiences like live 4K streaming can not be delivered dependably as a result of a mismatch between the video operations capability and the expectation of the consumer.

Due to the fact that of performance constraints 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 device. This doesn't suggest that live 4K encoding in software isn't possible. It does state that to deliver the quality of video experience consumers expect, video suppliers will require to assess commercial services that have been efficiency optimized for high core counts and multi-threaded processors such as those readily available from AMD and Intel.

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

Video suppliers wishing to use software for the flexibility and virtualization choices they offer will come across overly made complex engineering obstacles unless they pick encoding engines where multi-processor scaling is native to the architecture of the software application encoder.
Here is a post that reveals the speed advantage of Beamr 5 over x265.

Things to consider concerning computing performance and performance:

Don't chase after the next advanced codec without thinking about first the complexity/efficiency quotient. Dave Ronca, who led the encoding group at Netflix for 10 years and recently left to join Facebook in a comparable capability, just recently released an exceptional post on the subject of codec intricacy entitled, "Encoder Complexity Strikes the Wall." Though it's tempting to think this is just a problem for video banners with tens or numerous countless subscribers, the same compromise factors to consider must be thought about no matter the size of your operations. A 30% bitrate cost savings for a 1 Mbps 480p H. 264 profile will return a 300 Kbps bandwidth cost savings. While a 30% savings at 1080p (H. 264), which is encoded at 3.5 Mbps, will give more than triple the return, at a 1 Mbps savings. The point is, we must carefully and methodically consider where we are investing our compute resources to get the optimum ROI possible.
A business software application option will be developed by a devoted codec engineering team that can stabilize the requirements of bitrate efficiency, quality, and calculate efficiency. Exactly why the architecture of x264 and x265 can not scale.
Insist internal groups and consultants perform calculate efficiency benchmarking on all software encoding options under consideration. The three vectors to measure are absolute speed (FPS), specific stream density when FPS is held continuous, and the overall variety of channels that can be developed on a single server utilizing a nominal ABR stack such as 4K, 1080p, 720p, 480p, and 360p. All encoders should produce comparable video quality throughout all tests.
The next time your technical group prepares a video encoder shoot out, ensure to ask what their test plan is for benchmarking the compute effectiveness (performance) of each solution. With a lot upheaval in the distribution model and go-to-market organisation prepare for streaming entertainment video services, it may be appealing to press down the top priority stack selection of new, more effective software application video encoders. Surrendering this work might have a real impact on a service's competitiveness and ability to scale to meet future entertainment service requirements. With software application eating the video encoding function, compute efficiency is now the oxygen required to grow and win versus an increasingly competitive and crowded direct-to-consumer (D2C) marketplace.

You can attempt out Beamr's software application video encoders today and get up to 100 hours of totally free HEVC and H. 264 video transcoding each month. CLICK HERE

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