Research Scientist Intern
il y a 3 semaines
Work Mode:
Onsite
**Responsibilities**:
Tencent Media Lab is a leading actor in gaming and immersive video entertainment. For these innovative topics, the 3D mesh (point cloud with connected vertices and other characteristics) is one of the most appropriate format representation.
The number of points in a mesh can range in order of millions, with very complex structure. For this reason, the bitrate required to transmit a non-compressed mesh can be huge. The two major challenges with mesh representation are the lossy compression of the meshes, to enable transmission, and the automatic evaluation of the quality of meshes, degraded by the aforementioned compression.
Tencent is actively contributing to standardization activities and is a major actor in the field of mesh coding and quality assessment. The goal of this internship is to take part to this challenge and support the research team in the evaluation of coding tools and objective quality metrics, and the design of new innovative ones, for metaverse immersive video services.
- Study state-of-the-art mesh coding and objective video quality metrics techniques.
- Evaluate some coding tools and metrics under practical real-life test conditions.
- Conduct research to improve state-of-the-art coding tools and objective video quality metrics, based on traditional signal processing approaches and machine learning approaches.
- Implement the proposed coding and quality assessment solution in a reference software.
**Requirements**:
- Master’s degree, Engineering School (3rd year) or Ph.D. in computer science, electrical engineering or a related field.
- Solid programming skills in C/C++ and Python.
- Knowledge in image processing, image and video coding, image quality evaluation.
- Knowledge in machine learning, data science.
- Strong sense of responsibility, self-motivated, good communication skills, and passionate about cutting-edge technologies.
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