Is your business related to video content? Is the loss of quality in transcoding a tedious part of your company's everyday life? Here's a technology for you:
save budget up to 90%
optimizes company resources
free up employees' time for other tasks
convince your users to switch to new services

MegoVision – is an application that has automated the monotonous processes that your employees used to do manually:

- evaluation of the quality of any video.
- obtaining detailed analytical reports on the actual video quality and visual distortions.
Advantage
The advantage of technology is that MegoVision is entirely based on human visual system (HVS) modeling and provides video quality scores that are highly correlated with how the human eye sees.
Synchronization
Before measuring video quality, it is necessary to perform temporal and spatial synchronization of the measured and reference video. MegoVision allows these two tasks (synchronization and quality measurement) to be performed automatically.
MegoVision for broadcasters
The measurements provided by MegoVision are essential for any broadcaster or content provider who wants to pinpoint the optimal broadcast bitrates to achieve given quality levels. Determining the optimal broadcast bitrates allows companies to save money on the cost of CDN bandwidth, as well as provide the end user with the highest possible video quality at the optimal bitrate.
MegoVision for content providers
MegoVision is also an indispensable tool for comparing different video encoders (different manufacturers, different firmware versions) in order to choose the one that provides the highest quality. Once this choice is made or if the encoders were purchased in advance, MegoVision allows you to find the optimal encoding parameters (bitrate , GOP size, quantification, preprocessing, etc.) to maximize the perceived video quality.
MegoVision for video equipment manufacturers
MegoVision is a powerful tool for accelerating video encoder development. Indeed, while optimizing the firmware, MegoVision allows you to make the right decisions and choose the new tools that need to be implemented to effectively improve the perceived video quality.
Examples of MegoVision work
Comparison of MegoVision and Human work
Human
MegoVision application
Human is able to maintain concentration of attention - 12 seconds.
Concentration is held 24/7.
A person is always distracted by many factors.
MegoVision application is never distracted.
Might miss a mistake in the video.
You can run the same video 10 times - not a single defective frame will be missed.
Goes home after shift.
For 24 hours can analyze an infinite amount of content.
MegoVision technology
To process 100 videos today, you need 100 people.

Or 1 MegoVision application.

Difficulties of companies

- Users unsubscribe.
- Promised video quality encourages users to switch to new services from companies.
- But user expectations are often not true.
Causes of difficulties:
This is due to the company's lack of optimization for video quality assessment.
Technology development:
Video processing technology is evolving very quickly. And testing technologies do not keep up with them. For example, MPEG4 / AVC (H.264) coding, DVB-H broadcasting, and HDTV display provide these new user experiences and new technical challenges for broadcasters, content providers and video equipment manufacturers. HEVC and UHDTV are even harder.
Challenges faced by companies
Alisa Ruban
I signed up and wanted to watch football in 4K. In fact, it looks like Full HD. What did I pay for? Unsubscribe! Encode videos better!
Andrej Kanaev
I subscribed, watched the video, found errors, felt like a tester. So it turns out, you have to pay me?
Roman Letunov
Subscribed and accidentally opened the door to the 90s ... What is this video quality?
The solutions we offer
MegoVision allows you to measure the perceived video quality:
-1-
Without carrying out tests with real people to assess the quality of the video.
-2-
Thanks to the modern precision of video quality measurement technology (includes 8 mathematical quality metrics and a regression vector that is responsible for correcting how the human eye sees), there is no need to create a room for normalized tests.
-3-
No need to waste time recruiting observers and conducting subjective testing.
MegoVision provides accurate measurements of video quality, but also generates highly detailed reports on video quality and visual distortion.
When measuring video quality, MegoVision also measures video bitrate. This feature allows MegoVision to generate various Perceived Video Quality vs. Video Bitrate curves that allow you to determine the optimal encoding bitrates.

It is also possible to diagnose the failure of the quality of any individual frame from the stream that is being analyzed.
Conservative quality assessment technology
Prior to MegoVision, the most accurate way to measure perceived video quality was to get ratings from real people - observers. This is called a subjective rating of the video quality. Since quality is a subjective concept. And for two different observers, the perception of quality will be different. Data collection is carried out as follows: test observers are placed in a neutral comfortable room. The role of observers is to assess the quality of the video that is presented to them. To assess the quality of the video, observers use a voting scale that depends on the protocol involved (for example, it ranges from 0 to 100 in the SAMVIQ protocol).

But judging quality subjectively is a very difficult task, as many precautions must be taken to ensure that the real opinions collected can be trusted. These tests should be performed in a normalized environment in which viewing distance and ambient lighting need to be controlled.


The test protocol must also be normalized, such as SAMVIQ or ACR protocols. The vision of observers should also be checked in advance so as not to employ visually impaired observers (nearsighted and uncorrected observers, color blind). It is also necessary to use standardized statistical methods to detect and remove observers who have given inconsistent judgments. Finally, the confidence interval for each mean opinion score (MOS) should be calculated to know the accuracy of the test results and to decide when the tests have reached sufficient accuracy to be stopped.

Not only is the subjective assessment of quality difficult and time consuming. So in addition, setting up a normalized room, performing subjective tests and calculating the results usually takes 1 to 2 weeks for a set of 30 videos. Therefore, companies often neglect the correct testing conditions - this leads to consumer disappointment and loss of loyalty to the company.

The traditional measurement of video quality has difficulties that cost money, resources and time.

MegoVision solves these difficulties
Waste of company resources
10$ - 20$
How much does an average employee cost per hour testing video quality?
10 - 12 hours
How much time will it take for an employee to inspect 10 hour videos?
150$ - 250$
How much resources does the company spend during this time?
95%
occupancy of premises
90%
maintenance of premises and equipment
85%
employee pay
Contact us
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