Ways Video Encoder Performance Impacts Streaming Quality 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 technology company.

Computer system software is the bedrock of every function and department in the business; accordingly, software application video encoding is essential to video streaming service operations. It's possible to enhance a video codec application and video encoder for 2 but seldom 3 of the pillars. It does say that to deliver the quality of video experience customers anticipate, video distributors will need to examine commercial options that have actually been efficiency optimized for high core counts and multi-threaded processors such as those readily available from AMD and Intel.

With so much turmoil in the circulation model and go-to-market service strategies for streaming entertainment video services, it may be tempting to press down the top priority stack choice of new, more efficient software video encoders. With software consuming the video encoding function, calculate performance is now the oxygen needed to grow and win versus an increasingly competitive and congested 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 carried out with purpose-built hardware.

And then, software ate the hardware ...

Marc Andreessen, the co-founder of Netscape and a16z the famed endeavor capital firm 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 application Is Eating The World." A variation of this post can be discovered on the a16z.com site here.

"6 years into the computer system revolution, 4 years since the creation of the microprocessor, and 20 years into the rise of the modern Web, all of the technology required to change industries through software lastly works and can be commonly delivered at global scale." Marc Andreessen
In following with Marc Andreessen's prediction, today, software-based video encoders have practically entirely subsumed video encoding hardware. With software applications devoid of purpose-built hardware and able to operate on ubiquitous computing platforms like Intel and AMD based x86 machines, in the data-center and virtual environments, it is completely precise to state that "software application is consuming (or more appropriately, has consumed) the world."

However what does this mean for an innovation or video operations executive?

Computer system software is the bedrock of every function and department in the enterprise; accordingly, software application video encoding is necessary to video streaming service operations. Software application video encoders can scale without needing a linear boost in physical area and energies, unlike hardware.

When dealing with software-based video encoding, the 3 pillars that every video encoding engineer needs to resolve are bitrate efficiency, quality preservation, and computing efficiency.

It's possible to enhance a video codec application and video encoder for two but hardly ever 3 of the pillars. The majority of video encoding operations hence concentrate 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 performance.

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

Codec intricacy, such as that needed by HEVC, AV1, and the forthcoming VVC, is surpassing bitrate performance improvements and this has created the requirement for video encoder efficiency optimization. Put another method, speed matters. Typically, this is not an area that video encoding specialists and image researchers require to be worried about, but that is no longer the case.

Figure 1 illustrates the benefits of a software application encoding execution, which, when all attributes are stabilized, such as FPS and unbiased quality metrics, can do two times as much deal with the exact very 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 however not with x265. Beamr 5 set to the x264 comparable 'ultrafast' mode can encode four private 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 performance is straight associated to the quality of service as an outcome of fewer machines and less complicated encoding structures required.

For those services who are mainly worried about VOD and H. 264, the ideal half of the Figure 1 graphic shows the performance advantage of an efficiency optimized codec application that is established to produce really high quality with a high bitrate performance. Here one can see approximately a 2x advantage with Beamr 4 compared to x264.

Video encoding calculate resources cost genuine cash.

OPEX is considered carefully by every video supplier. Suppose entertainment experiences like live 4K streaming can not be delivered dependably as an outcome of a mismatch in between the video operations ability and the expectation of the consumer. Keeping in mind that numerous mobile devices offered today can 1440p if not 4K display. And customers are wanting content that matches the resolution and quality of the gadgets they bring in their pockets.

Due to the fact that of performance limitations with how the open-source encoder x265 makes use of calculate cores, it is not possible to encode a live 4Kp60 video stream on a single device. This does not imply that live 4K encoding in software application isn't possible. It does say that to provide the quality of video experience consumers anticipate, video suppliers will need to assess business services that have actually been efficiency optimized for high core counts and multi-threaded processors such as More Info Now 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 suppliers wishing to utilize software application for the versatility and virtualization choices they provide will come across overly complicated engineering difficulties unless they select encoding engines where multi-processor scaling is belonging to the architecture of the software application encoder.
Here is a post that reveals the speed benefit of Beamr 5 over x265.

Things to consider worrying computing efficiency and efficiency:

Don't go after the next more innovative codec without thinking about initially the complexity/efficiency ratio. Dave Ronca, who led the encoding team at Netflix for ten years and recently left to join Facebook in a similar capacity, recently published an excellent post on the topic of codec intricacy entitled, "Encoder Intricacy Strikes the Wall." It's tempting to think this is just an issue for video banners with 10s or hundreds of millions of customers, the very same compromise factors to consider should be considered regardless of the size of your operations. A 30% bitrate 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 offer more than triple the return, at a 1 Mbps cost savings. The point is, we need to thoroughly and systematically consider where we are investing our calculate resources to get the maximum ROI possible.
An industrial software application solution will be built by a dedicated codec engineering team that can balance the requirements of bitrate efficiency, quality, and calculate performance. This is in stark contrast to open-source jobs where contributors have different and specific priorities and agendas. Exactly why the architecture of x264 and x265 can not scale. It was built to accomplish a various set of tradeoffs.
Firmly insist internal teams and experts conduct calculate efficiency benchmarking on all software application encoding solutions under consideration. The three vectors to measure are absolute speed (FPS), individual stream density when FPS is held continuous, and the overall number of channels that can be created on a single server utilizing a small ABR stack such as 4K, 1080p, 720p, 480p, and 360p. All encoders should produce equivalent video quality throughout all tests.
With so much upheaval in the distribution model and go-to-market service plans for streaming entertainment video services, it may be tempting to press down the concern stack selection of new, more efficient software video encoders. With software application eating the video encoding function, compute efficiency is now the oxygen needed to thrive and win against a significantly competitive and crowded direct-to-consumer (D2C) market.

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

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