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InternDeep-Based Energy-Aware Video Adaptation H/F - 35

Description du poste

  • InterDigital

  • Rennes - 35

  • Stage

  • Publié le 24 Octobre 2025

About 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. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today's most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq.

InterDigital is a registered trademark of InterDigital, Inc.

À propos d'InterDigital

InterDigital est une entreprise mondiale de recherche et de développement qui se concentre principalement sur les technologies sans fil, vidéo, d'intelligence artificielle ("AI") et les autres technologies connexes. Nous concevons et développons des technologies fondamentales qui permettent des expériences connectées et immersives dans une large gamme de produits et de services de communication et de divertissement. Nous concédons des licences sur nos innovations dans le monde entier à des entreprises qui fournissent de tels produits et services, notamment des fabricants d'appareils de communication sans fil, d'appareils électroniques grand public, d'appareils IoT, de voitures et d'autres véhicules à moteur, ainsi que des fournisseurs de services basés sur le cloud, tels que la diffusion vidéo. En tant que leader de la technologie sans fil, nos ingénieurs ont conçu et développé un large éventail d'innovations utilisées dans les produits et les réseaux sans fil, depuis les premiers systèmes cellulaires numériques jusqu'à la technologie 5G et les technologies Wi-Fi les plus avancées d'aujourd'hui. Nous sommes également un leader dans le domaine du traitement vidéo et de la technologie de codage/décodage vidéo, avec un important effort de recherche en matière d'IA qui recoupe à la fois les technologies sans fil et les technologies vidéo. Fondée en 1972, InterDigital est une société cotée au NASDAQ.

InterDigital est une marque déposée d'InterDigital, Inc.

Pour plus d'informations, n'hésitez pas à consulter le site www.interdigital.com.In this internship, the objective is to design a deep learning model to build energy-aware videos. Methods for building energy-aware images, that is, images that will consume less than their corresponding original versions, while displayed on screen, already exist in the literature. However, they do not take into account the temporal information in videos and thus could lead to temporal inconsistency. The goal is to build a model that will leverage the video information to both ensure temporal consistency and improve performance in terms of quality and energy consumption, compared to frame-based methods.

This work shall be seen as one step forward towards a more sustainable video streaming chain. Indeed, in the context of climate change, video streaming shall take part in the challenge of reducing our carbon emissions.

The goal will be to find and review potential existing solutions for ensuring temporal consistency in the video processing chain. In a second step, a deep learning-based model will be designed and implemented, to construct energy-aware videos. Evaluation of the performance of the developed model will also be conducted.

The internship will take place in the Media Services research group of the InterDigital Video Lab. The intern will be mentored by scientists and will be part of a research project developing solutions to mitigate energy consumption in the video streaming industry.

Duration: 5-6 months, starting January-April 2026

Responsibilities

State-of-the-art and analysis of existing solutions

Implementation of a video-based deep learning model for energy reduction

Evaluation and reporting of results

Related work

[1] O. Le Meur, C. -H. Demarty and L. Blonde, "Deep-Learning-Based Energy Aware Images," 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 590-594, doi: 10.1109/ICIP49359.2023.10222188.

[2] Ameur, Z., Demarty, CH., Ménard, D., Meur, O.L. (2025). 3R-INN: How to Be Climate Friendly While Consuming/Delivering Videos?. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision - ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15133. Springer, Cham. https://doi.org/10.1007/978-3-031-73226-3\_9

[3] Emmanuel Sampaio, Claire-Hélène Demarty, and Olivier Le Meur. 2024. How to make images less power-hungry: An objective benchmark study. In Proceedings of the Second International ACM Green Multimedia Systems Workshop (GMSys '24). Association for Computing Machinery, New York, NY, USA, 1-7. https://doi.org/10.1145/3652104.3652525

Keywords: energy-aware images, temporal consistency, energy consumption, energy reduction, vision quality metrics, machine learning (deep learning).

Expected Outcomes:

Apart from the expected outcome that corresponds to the energy-aware video model and its evaluation, this internship will be expected to generate patents and publications.

Location: Rennes, France

Mentors: Claire-Helene Demarty, Ali Ak

InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person's sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.

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