PhD CIFRE, PhD – Deep-based reference pictures generation for video codin

InterDigital InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence (“AI”), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. Founded in 1972, InterDigital is listed on Nasdaq and is a registered trademark of InterDigital, Inc. More information is available at

InterDigital R&I Center in Rennes, France, is looking for a PhD researcher in deep‑based video coding. The offer takes place in a research project focused on 2D video coding, deeply involved in standardization (MPEG, VCEG, JVET). The objective of the PhD thesis is to explore new coding algorithms based on deep‑learning solutions, focused on the improvement of inter‑prediction by using deep solutions to generate more accurate reference pictures. The main aim is to significantly improve coding efficiency compared to prior‑art solutions while addressing complexity issues.

Main Responsibilities

• Follow‑up the state‑of‑the‑art of published research and standardization in the field of Deep learning and Video Coding.
• Propose and implement new algorithms for video coding, in collaboration with the research team in the field of Video Coding and Deep Learning.
• Participate in the innovation effort through invention disclosures.
• Demonstrate and promote results in contributions to standards, peer‑review journals and conferences.

Profile

• School engineer diploma or master degree in computer science with experience in at least one of deep learning, machine learning, signal processing and/or related fields.
• Interest in Computer Vision and/or image processing and Deep/Machine Learning.
• Experience in software implementation: C/C++, Windows/Linux, Python, TensorFlow.
• Team spirit, enthusiastic, motivated, and creative attitude.
• Good communication skills and ability to present his activities internally and externally.
• Fluent English mandatory, French appreciated.

Location: Rennes, France

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