Master Thesis: In-the-loop QoE guided video encoding

Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling

I korthet

This Master's thesis focuses on developing efficient video encoding technologies by investigating in-the-loop QoE (Quality of Experience) guided encoding. The project involves selecting datasets, analyzing video quality, evaluating encoding methods, and implementing a system to integrate QoE estimation into the encoding process.

Ansvarsområden

Select and curate suitable video quality datasets.
Perform comprehensive analysis of selected datasets.
Evaluate state-of-the-art video encoding bitrate-control methods.
Assess the applicability of standardized video QoE models.
Develop an in-the-loop system incorporating fast QoE estimation into the encoding process.
Implement and evaluate the solution for one video codec or encoder (e.g., VVC or HEVC/H.265).
Analyze results and assess the potential of QoE-guided encoding.

Krav

Enjoy working closely with colleagues and collaborating towards common goals.
Strong analytical skills.
Eagerness to develop innovative solutions.
Sound understanding of good research practices.
Knowledge of video streaming or media coding.
Interest in algorithm development, experimentation, and testing.
Strong programming skills in languages such as Python and C++.
Excellent mathematical skills.
Pursuing an MSc in Computer Science, Electrical Engineering, Engineering Physics, or a related field.
Include a transcript of records showing completed courses and grades.

Förmåner

Outstanding opportunity to use skills and imagination to push boundaries.
Build solutions never seen before to tough problems.
Challenged but not alone; joining a team of diverse innovators.
Opportunity to craft what comes next.
Encouraging a diverse and inclusive organization is core to values.

Färdigheter

PythonC++

#video encoding#QoE#streaming#compression#machine vision#AI

Om Ericsson

Pioneering technology for connecting billions of people worldwide

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