The 24th edition of the CORESA conference (Compression and Representation of Audiovisual Signals) will be organized by the teams of the LS2N laboratory in Nantes. The conference will take place from May 27 to 29, 2026, on the Polytech Nantes campus.

These days will offer young researchers and specialists in the multimedia field scientific and technical plenary sessions, oral presentations, posters, demonstrations, and discussions on relevant and stimulating questions concerning the future of multimedia.

This edition will be organized as follows:

• One day of tutorials providing opportunities to acquire knowledge on cutting-edge topics.

• Two days of exchanges around presentations, posters, and exhibition stands.

For these days, contributions are expected in the following five areas:

1. Analysis, compression, and representation of images, sound, video, and 3D data

Image, video, and 3D data analysis; segmentation; compression; representation and transmission of multimedia signals; geometric modeling and compression; joint source–channel coding; audio analysis/synthesis; big data; image/video quality.

2. Developments related to multimedia services and uses

Acquisition and digitization (nD digitization, 3D cinema, etc.); tools and techniques for indexing and searching multimedia information; authentication and protection: watermarking and data hiding; joint audio-video techniques; representation of structural and semantic metadata; media and social networks; collaborative or user-centered approaches for the analysis and access to audiovisual data.

3. Communication and interface systems, virtual environments

3D scene analysis/synthesis; smart terminals; tools and techniques for distributed virtual spaces; telepresence; augmented reality; virtual reality; immersive video; video games; facial cloning and animation; composition and integration of media of different types; software and hardware architectures for multimedia client/server systems.

4. Energy efficiency in the multimedia field

Sustainable digital technologies; energy efficiency of algorithms; frugality in video broadcasting systems; energy efficiency of capture and display systems; user acceptability in a resource-constrained context; sustainability of image-processing solutions; models for estimating the energy cost of digital solutions; life-cycle analysis; responsible usage practices; techniques for reducing the energy footprint of video streaming and image-processing services; extending the lifespan of video services.

5. Artificial intelligence for multimedia signal compression and representation

Artificial intelligence and machine learning methods for the compression, representation, and analysis of multimedia signals (images, audio, video, 3D data), learned and generative models, deep neural networks, self-supervised learning, latent representations, perceptual quality enhancement, robustness and generalization of models, interpretability and limitations of AI-based approaches, integration of AI within multimedia processing pipelines, links with signal analysis and representation, multimedia services and usages, interactive and immersive systems, as well as issues related to energy efficiency, frugality, and sustainability of AI-based solutions.

TBA