Team TEMICS
Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
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Section: Contracts and Grants with Industry

National contracts

DGE/Region-FUTURIMAGE

Participants : Christine Guillemot, Vincent Jantet, Claude Labit, Gael Sourimant.

The Futurim@ages project studies coding, distribution and rendering aspects of future television video formats: 3DTV, high-dynamic range videos, and full-HD TV. In this context, TEMICS focuses on compact representations and restitution of multi-view videos. Multi-view videos provide interesting 3D functionalities, such as 3DTV (visualization of 3D videos on auto-stereoscopic screen devices) or Free Viewpoint Video (FFV, i.e. the ability to change the camera point of view while the video is visualized). However, multi-view videos represent a huge amount of redundant data compared with standard videos, hence the need to develop efficient compression algorithms. Stereoscopic or auto-stereoscopic devices display very specific camera viewpoints, which should be generated even if they do not correspond to acquisition viewpoints. Artifacts such as ghosting or bad modelled occlusions must be dealt with to render high quality 3D videos.

In the Futurim@ages project, we also address the problem of depth map retrieval from multi-view and from monocular videos of static scenes. For the latter case, we rebuilt the Structure from Motion part of the 3D video codec developed in the team by integrating the lattest state-of-the-art vision algorithms. As for the multi-view case, we developed a new depth map estimation algorithm which aims at preserving depth discontinuities, which is necessary to render correct virtual views of the scene. In the near future, we plan to compare this software to the Depth Estimation Reference Software (DERS) from the MPEG 3DV group, in terms of virtual views synthesis quality.

RIAM-ESTIVALE

Participant : Caroline Fontaine.

ESTIVALE is a project dealing with the diffusion of video on demand in several contexts: from personal use to professionnal use. People involved in the project are from different communities: signal processing and security, economists and jurist. The goal of the project is to design technical solutions for securing this delivery, through DRM and watermarking tools, and to remain consistent with the economical and juridical studies and demands. In 2009, the TEMICS project-team has contributed on the design of a practical efficient fingerprinting scheme for video (see Section  6.4.2 ).

RIAM-MEDIEVALS

Participants : Caroline Fontaine, Ana Charpentier.

MEDIEVALS is a project dealing with the diffusion of video or audio on demand. MEDIALIVE developed a software to secure this delivery through visual encryption, and the goal of the project is to add watermarking/fingerprinting in the process to improve the security of the delivered content. In 2009, the TEMICS project-team has contributed on the rationale of the new software architecture. We performed tests to study the best articulation between visual encryption, watermarking and anti-collusion codes.

ANR-COHDEQ

Participant : Jean-Jacques Fuchs.

The RNRT project COHDEQ 40 “COHerent DEtection for QPSK 40GHz/s systems” whose coordinator is Alcatel has started in January 2007. It extends over a 3-year period and its aim is to establish the feasibility of coherent detection in optical fibers transmission systems. As far as Irisa is concerned, the work is done by ASPI in collaboration with TEMICS. It covers all the signal processing aspects of this specific digital communication system that will be able to achieve a 100 Gbit/s channel rate.

ANR-TCHATER

Participant : Jean-Jacques Fuchs.

The RNRT project TCHATER “Terminal Coherent Hétérodyne Adaptatif TEmps Réél” whose coordinator is Alcatel has started in January 2008. It will run over a 3-year period and aims to fully implement coherent detection in an optical fibers transmission systems, with among others the real time implementation on dedicated FPGA's that will be taken care off by the Inria-Arenaire team. As far as Irisa is concerned, the work is done by ASPI in collaboration with TEMICS. To adapt the extremely high channel rate, 4 ADC's (analog-to-digital converters) are needed and to accommodate the FPGA's to their output rate, temporal multiplexing of order 40 is required. This structure strongly impacts the signal processing algorithms developed in the COHDEQ project that have to be rewritten and adapted to be able to handle the ensuing constraints.

ANR-STRADE

Participant : Jean-Jacques Fuchs.

The project STRADE “Réseaux du Futur et Services” whose coordinator is Alcatel will start in the fall of 2009. It will run over a 3-year period and aims to investigate the potentialities of optical fibers with higher effective area than those used nowadays. The overall objective is to increase the global transmission capacity of a single fiber. As far as Irisa is concerned, the work is done by ASPI in collaboration with TEMICS and concerns the signal processing aspects. One of the points that will be investigated once the fibers will be available, is the possibility of using mode division multiplexing and fully new signal processing algorithms will then be required to, among others, - improve the separation of the different modes tentatively done by physical devices that need to be developed, - to separate the different polarization and - to achieve the equalization on the different outputs.

ANR-ESSOR

Participants : Christine Guillemot, Aline Roumy, Velotiaray Toto-Zaratosoa.

Compared with predictive coding, distributed video compression holds a number of promises for mobile applications: a more flexible coder/decoder complexity balancing, increased error resilience, and the capability to exploit inter-view correlation, with limited inter-camera communication, in multiview set-ups. However, despite the growing number of research contributions in the past, key questions remain to bring monoview and multi-view DVC to a level of maturity closer to predictive coding: estimating at encoder or decoder the virtual correlation channel from unknown - or only partially known - data; finding the best SI at the decoder for data not - or only partially - known. Solutions to the above questions have various implications on coder/decoder complexity balancing, on delay and communication topology, and rate-distortion performance. These questions are being addressed by the ANR-ESSOR project. The TEMICS project-team more specifically contributes on the design of Slepian-Wolf and Wyner-Ziv coding tools as well as on the design of robust and joint source-channel distributed coding strategies. More specifically, in 2009, the TEMICS project-team has pursued the development of a practical distributed video compression schemes based on LDPC codes, improving its performance by designing estimation and decoding algorithms which allow us exploiting both the non-uniformity distribution and the memory of the correlated sources present in the video signal (see Section 6.3.2 ).

ANR-ICOS-HD

Participants : Christine Guillemot, Fethi Smach, Joaquin Zepeda.

The objective of the project is to develop new solutions of scalable description for High Definition video content to facilitate their editing, their acces via heterogeneous infrastructures (terminals, networks). The introduction of HDTV requires adaptations at different levels of the production and delivery chain. The access to the content for editing or delivery requires associating local or global spatio-temporal descritors to the content. The TEMICS project-team contributed in particular on the study of new forms of signal representation amenable to both compression and feature extraction (see Section 6.2.6 ). A new concept called visual sentences which can be seen as a sparse extension of the concept of visual words has been introduced and assessed for image retrieval in large databases. Methods for computing a similarity measure between descriptors has been designed for the approximate nearest neighbor search task required in content based image retrieval systems. A novel method of dictionary construction has also been developed for this problem of joint compression/description problem (see Section 6.2.6 ).


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