Thesis - Netflix VMAF quality metric for Surveillance Video

  • Lund, Skåne
  • Tillfälligt
  • Heltid
  • 1 månader sedan
Job Title
Thesis - Netflix VMAF quality metric for Surveillance Video

Job Description

Category
Computer Science, Math, Applied Mathematics

Scope
Master Thesis
2 students completing 30 credits each

Background

The idea behind this Master Thesis is to evaluate Netflix innovative VMAF quality metric and see if it can be adopted to surveillance. VMAF calculates PSNR, SSIM, MS-SSIM etc and then uses Machine Learning to weight these measurements against a model. The Holy Grail in Video is to be able to do accurate automated Non-Reference Quality Evaluations. I.e. determine the quality for a video stream without human interaction and without comparing it against a known source. A-B testing in a controlled environment is still the best way to do this but it's very time consuming.

Besides the default VMAF model which predicts the quality of videos displayed on a 1080p HDTV in a living-room-like environment, VMAF also contains a set of tools that allows a user to train and test a custom VMAF model.

Goal

Use the tools from Netflix to create a Axis model based upon our own videos and our own scoring and compare the default-models

from Netflix
  • 1080p at 3H
  • Mobile
  • 4k at 1.5H
with our own. The default VMAF model is trained to predict the quality of videos displayed on a 1080p HDTV in a living-room-like environment with a viewing distance of three times the screen height (3H).

The result would be a Non-Reference method of evaluating Video Quality on our cameras in real-time, incorporating everything from the optics, the sensor, the Image Processing Pipeline and the encoder providing Axis with an unsurpassed way in production to verify that the Golden Eye Quality isn't compromised.

Who are you?

Most likely you are studying a Master Program in Computer Science.

OK, I am interested! What do I do now?
You are valuable to us - how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.
  • Applications are accepted in both Swedish and English, and you apply via the proposal advert.
  • The announced thesis is open only to students affiliated with a Swedish University/College either directly or via an exchange program.
  • When the thesis proposal states that it includes two students working together, we would like you to apply in pairs. In these cases, send one application each but make sure to clearly state in your application who your co-applicant is. If you have any questions regarding this, please do not hesitate to contact us.
  • Please attach your CV and University/College grade summary.
Who to contact for any questions regarding the position!

Magnus Söderdahl, Engineering Manager

+46 46 272 18 00,

Type of Employment
Temporary Employment (Fixed Term)

Posting End Date
2020-12-08

About Axis Communications
Axis enables a smarter and safer world by creating network solutions that provide insights for improving security and new ways of doing business. As the industry leader in network video, Axis offers products and services for video surveillance and analytics, access control, and audio systems. Axis has more than 3,000 dedicated employees in over 50 countries and collaborates with partners worldwide to deliver customer solutions. Axis celebrates diversity and is committed to creating an inclusive environment for all employees.

For more information about Axis, please visit our website .

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