Ericsson

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About The Opportunity
The rapid growth of 4K/8K streaming, immersive XR, and real-time telepresence is creating increasing demands on video compression and network capacity. At the same time, machine-vision applications such as drones, autonomous vehicles, and industrial inspection rely on high-quality video with low latency and minimal compression artefacts.
Efficient video encoding is essential for reducing bandwidth requirements, CDN costs, and energy consumption while preserving the visual details needed by AI-based perception systems and real-time services. As video demand continues to grow and data-centre emissions face increased regulatory attention, codec efficiency is becoming increasingly important for both sustainability and competitiveness.
Traditional video Quality of Experience (QoE) models are often resource-intensive and are typically applied after the video has been encoded. By enabling fast QoE estimation during the encoding process, encoding parameters can be adjusted to achieve the best possible quality for a given bitrate.
This thesis will investigate QoE-guided encoding decision-making and contribute to the development of more efficient video encoding technologies.
What you will do
During the thesis, you will:
<ul>
<li>Select and curate suitable video quality datasets that capture the effects of different encoding strategies.</li>
<li>Perform a comprehensive analysis of the selected datasets.</li>
<li>Evaluate state-of-the-art video encoding bitrate-control methods.</li>
<li>Assess the applicability of standardized video QoE models.</li>
<li>Develop an in-the-loop system that incorporates fast QoE estimation into the encoding process.</li>
<li>Implement and evaluate the solution for one video codec or encoder, such as VVC or HEVC/H.265.</li>
<li>Analyse the results and assess the potential of QoE-guided encoding for improving video quality and encoding efficiency.</li>
</ul>
The skills you bring
We are looking for candidates who:
<ul>
<li>Enjoy working closely with colleagues and collaborating towards common goals.</li>
<li>Have strong analytical skills and are eager to develop innovative solutions.</li>
<li>Have a sound understanding of good research practices.</li>
<li>Have knowledge of video streaming or media coding.</li>
<li>Are interested in algorithm development, experimentation, and testing.</li>
<li>Have strong programming skills in languages such as Python and C++.</li>
<li>Have excellent mathematical skills.</li>
<li>Are pursuing an MSc in Computer Science, Electrical Engineering, Engineering Physics, or a related field.</li>
</ul>
When applying, please include a transcript of records showing your completed courses and grades.
Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city:
Sweden (SE) || Luleå
Req ID:
791565

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

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

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