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Subject: Development and optimization of a VVC encoder
The COVID-19 crisis once more showed how dependent are our societies on digital video broadcast. An industry which is itself highly restricted by the bandwidth for distribution of a tremendous amount of video over different transportation means (Terrestrial, Satellite, Internet, mobile). This increase in video consumption leads to a massive usage of computational resources in datacenters. This has two principal impacts. First, the encoding costs for service providers and broadcasters grow, since they’re often charged on a CPU/Bandwidth-usage basis. Second, the increase in energy consumption and its impact on the environment are more important.
In July 2020, H.266 / Versatile Video Coding (VVC) was released by ITU-T, as the next generation video compression standard. The promising performance of VVC compared to its predecessors, in terms of bitrate saving, pushes the broadcast industry towards a quick adoption. However, VVC brings significant performance improvement at the cost of more complexity and requires more computational power. In order to limit the datacenters energy consumption while deploying new codecs such as VVC to save more bandwidth, careful algorithmic and software optimizations must be conducted.
Concurrently with the standardization process, ATEME has been developing an industrial implementation of VVC encoder in its products. As with every codec generation, the first encoder version does not include all the features of the standard. Also new coding tools requires specific algorithmic design and optimization.
1500€ gross + Ticket restaurant + Reimbursement of transportation fees + possibility of recruitment (CDI) or CIFRE thesis
This internship will consist of following phases:
1. Study of the principles of video coding, with a focus on the VVC design.
2. Getting to know the ATEME implementation of VVC encoder
3. Study, implementation, and test of selected coding tools and/or versatility features
4. Integration in the ATEME codec, performance measurement and optimization.
In all above phases, candidate will constantly interact with his/her colleagues to benefit from their knowledge and experience. Noteworthy of precising that, based on the profile of candidate, the internship orientation might be adjusted.
About the candidate:
- Last-year student of engineering school program or master’s in computer science or electrical engineering.
- Excellent C/C++ programming skills.
- Hand-on experience with neural networks and libraries such as TensorFlow, PyTorch etc.
- Ability to read and understand academic papers in the domain of image and video processing.
- Being familiar with video compression algorithms is a plus.
- Fluent in English.
The position is based in Rennes (35) Vélizy (78) or Meylan (38), teleworking possible
5 months (minimum)
Equal Employment Opportunity:
Ateme SA and all its subsidiaries is an Equal Opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.