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Section: Bilateral Contracts and Grants with Industry
Contracts with Industry
Contract with Astrium on compression of satellite images
Participants : Jeremy Aghaei Mazaheri, Christine Guillemot, Claude Labit.
This contract with Astrium addresses the problem of sparse representation and dictionary learning for efficient sparse coding of video signals captured from a geostationary satellite. The goal is to develop a compact spatio-temporal representation taking advantage of the high redundancy present in the video of very high resolution and characterized by low motion. The first year has been dedicated to the study of different methods for learning tree-structured dictionaries, which can be well-tailored to the characteristics of the signals to be processed at each iteration of the greedy matching pursuit algorithms, while allowing efficient encoding of the produced sparse vectors. The performance of the dictionaries both in terms of PSNR versus sparsity and versus actual bit rate has been assessed.
Collaboration with Alcatel on robust video compression
Participants : Marco Bevilacqua, Christine Guillemot, Ronan Le Boulch, Aline Roumy.
In the framework of the joint research lab between Alcatel-Lucent and Inria, we participate in the ADR (action de recherche) Selfnets (or Self optimizing wireless networks). The objective is, jointly with the Alcatel Lucent team, to develop video representations and compression tools allowing smooth network adaptation on one hand and loss resilience on the other hand. In that context, the PhD thesis of M. Bevilacqua focuses on the development and study of image and video super-resolution as a tool for constructing scalable representations, hence enabling network adaptation of transmitted video streams. Despite the use of scalable representations and of error correcting codes, the reconstructed video after decoding may still suffer from residual losses. The effect of these residual losses can be mitigated using loss concealment techniques, as developed within the ANR-ARSSO project. However, loss concealment does not allow perfect recovery of the lost data. The reconstructed video after loss concealment is hence still corrupted by noise. Forward error correction using wyner-ziv encoded video is therefore also envisaged as an additional protection means, to cope with the residual noise after loss concealment.
Contract with EutelSat on video traffic analysis
Participants : Laurent Guillo, Aline Roumy.
This contract with EutelSat (starting in August 2012) is a consulting contract and aims at analyzing the variation of the video traffic, when the video is encoded by HEVC. Indeed, the main characteristic of satellite broadcasting, as proposed by Eutelsat, is to provide a nearly constant video quality, which is obtained by variable video traffic (bit rate). Then, to address this variability issue, statistical multiplexing is used to share the resource among the users. However, statistical multiplexing needs a precise analysis of this variability. In this contract, we therefore analyze this variability, when the video is compressed with the upcoming video compression standard HEVC.
Contract with SHOM (Service Hydrographique et Océanographique de la Marine)
Participants : Alan Bourasseau, Olivier Le Meur.
The project consists in developing lossless and lossy compression algorithms for oceanographic data in partnership with ALYOTECH. The SIROCCO team contributes on the design and development of compression algorithms for this specific type of data, based on diffusion methods. The main constraint is the limited bandwidth used by the navy to transmit the data, i.e. an emitted message must be smaller than 4 kilo bytes. The obtained quality versus rate performances will be assessed against those given by state of the art solutions (HEVC-Intra and JPEG-2000).