The next generation automation testing for video streaming apps by Perfecto & Accenture S3

How many times have you heard this phrase while watching a game on your phone: “Touchdown!!” (or GOAL!!) but all you can see is the loading dial? How about this: you are sitting on an airplane, trying to watch a video on the flight WiFi and it just stops or pauses constantly. Maybe you’ve tried to watch some home improvement or recipe video that was impossible to watch because it just kept stalling?

The proliferation of video consumption on a variety of devices is unsurprising when one considers the media vertical: Sports, entertainment, drama, gaming etc. Nearly 60% of sports videos are on mobile devices in UK.

What is interesting is the same phenomena outside this vertical: for example, 80% of all banks are planning to offer video-enabled banking services as an evolution of their digital personalized presence (Source).

 

 

 

 

 

 

The main drivers: User satisfaction, competitive edge and increased customer loyalty.

 

 

 

 

 

 

 

The same trend is happening in retail, travel and many more.

With high hopes and success stories, comes the reality: Content quality on its own is insufficient to drive user adoption, satisfaction and drive business metrics. It’s all about the end user experience: the sum of content quality, delivery and rendering on the mobile device. All vendors in this ecosystem need to align on quality expectations and embed agile quality practices.

This is easier said than done when considering the pace at which mobile applications are refreshed, as well as the time pressure introduced with new video content and services. Teams need automated, stable and scalable methods to continuously test and monitor video services on every phone, tablet and browser and in any environment; at home, on the road, inside a plane, etc.

A collaboration between Accenture-S3, and Perfecto provides a solution for just that. Perfecto offers access to a variety of devices, following in interactive mode or automated. Tests can be carried out pre-production or in production, following DevOps team collaboration methodologies Scripts can be written in any language: BDD/Cucumber, Java, JS, C# etc., in a stable and scalable form. Devices can be connected over Apple TV or Chromecast so that video quality can be analyzed by StormTest.

 

 

Using this system, brands can conduct both functional testing, as well as video quality testing, in an automated, continuous manner.

The resulting report can contain both the details for the functional analysis:

 

As well as the StormTest video quality report:

 

 

 

 

 

 

 

 

VQM_monitoring_frame_914 : MOS avg = 73.921368599: good, TFQ avg: 74.4697488455, FQ avg: 75.4665172481, nb of jerkiness: 12, max jerkiness time in ms: 66.6666666667, nb of frames with jerkiness: 12, nb blockiness: 0, nb blur: 389, nb contrast: 453, temporal min: 0.64802035108, temporal max: 50.9574469522, temporal avg: 8.64656667633, temporal stdv: 7.90411712151, Audio MOS avg = 70.6908369241: good, nb of silence: 36, nb of saturation: 0, nb of breaks: 0, nb of distortion: 0

Closing Thoughts

Can brands get ready for the next revolution of digital engagements? Absolutely. Testing and monitoring of video engagements in an automated and scalable fashion, that fits tight release cycles and produces reliable data are here. It’s time to take advantage of it.

Looking for more about the importance of streaming video quality?

 

 

Perfecto Blog

Huawei Nova 2S unboxed and handled on video

Previous leaks have painted a pretty picture of the Huawei Nova 2S, but now a very short video gives a visual confirmation. The phone also gets its first hands-on, despite its unofficial status. It will be unveiled on December 7 (tomorrow). The video starts off with an unboxing, starring a charger, cable and a headset. The phone comes with Android 8.0 Oreo – Huawei has been great in providing the latest software – while the power is supplied by a Kirin 960, the chipset used in the P10 and Mate 9 flagships. And it’s hooked up to 6GB of ram, an upgrade over the base Nova 2. Storage is…

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First Look: DynAdmic Uses Digital Element’s Mobile-Derived Geolocation Data within Its Digital Video Advertising Targeting Solution

Digital Element, a global geolocation data and services provider, just announced that DynAdmic, a digital video advertising firm, has selected its global, mobile-derived geolocation dataset to use within its contextual targeting solution, helping to deliver more efficient and effective campaigns throughout Latin America.

Headquartered in France with operations in Brazil, the United States, Canada, Mexico and Germany, DynAdmic has emerged as a leading innovator in the digital video advertising space with its contextual targeting solution powered by audio recognition technology that identifies viewers’ real-time interests, allowing the delivery of ads at the moment their interest level is the highest. Some of the world’s largest brands, including BMW, Red Bull, Kellogg’s, McDonalds and American Express, depend on DynAdmic to deliver high-performing video advertising campaigns in the safest environments.

“Recognized brands began pulling their spending from Google in the spring as a result of their ads appearing next to objectionable content on YouTube and other websites it monetizes,” said Stéphane Bonjean, CEO and co-founder of DynAdmic. “Through DynAdmic’s unique set of tools, we’ve been able to step in to ensure that brands have a safer environment for their advertisements.”

DynAdmic will integrate Digital Element’s NetAcuity PulseTM, the industry’s first mobile-derived IP targeting solution that identifies geographic location down to a postal code level, to effectively target video ads, identify fraudulent ad traffic, and ensure brand safety. Additionally, the company will also employ Digital Element’s mobile carrier and Internet Service Provider (ISP) databases to help add even more viewer context to its targeting solution―without invading consumers’ privacy.

“It’s all about relevancy,” said Bruno Champion, CTO and co-founder of DynAdmic. “We use data to identify consumers in order to match them with the right video ad when it will be most relevant to them. That’s why it’s imperative for DynAdmic to use the most accurate and reliable global geolocation available.”

The post First Look: DynAdmic Uses Digital Element’s Mobile-Derived Geolocation Data within Its Digital Video Advertising Targeting Solution appeared first on Mobile Marketing Watch.


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Amazon Prime Video finally arrives for Apple TV, gets optimized for iPhone X

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