Given the strong impact of standardization in the sector of networked multimedia, TEMICS, in partnership with industrial companies, seeks to promote its results in standardization (IETF, JPEG, MPEG). While aiming at generic approaches, some of the solutions developed are applied to practical problems in partnership with industry (Thomson, France Télécom) or in the framework of national projects (RNRT COSOCATI, DIPHONET, EIRE, VIP, RNTL DOMUS-VIDEUM) and European projects (IST-BUSMAN and IST-OZONE). The application domains addressed by the project are networked multimedia applications (on wired or wireless Internet) via their various requirements and needs in terms of compression, of resilience to channel noise, or of advanced functionalities such as navigation, protection and authentication.
TEMICS has five Cifre contracts with industrial partners:
TEMICS also supervises DRT projects in collaborations with industrial partners:
The project objective is to design error resilient video coding solutions and joint sourcechannel coding techniques for robust transmission of video signals over wireless IP networks. TEMICS contributes to VIP by designing estimation algorithms for robust decoding of arithmetic codes in presence of channel noise, and by integrating these techniques in a fine grain scalable video coder and decoder. TEMICS also studies redundant wavelet transforms for erasure-resilient coding and decoding of video signals.
The aim of the Diphonet project is to develop protection and tracing tools for applications of professional images delivery over the Internet.The watermarking technique is used to insert copyright information as well as meta-data in order to trace the origin of a picture. The watermarking technique based on game theory reported in sub-section tatouage has been evaluated and optimized against intentional attacks and potential de-synchronizations.
The aim of the project is to develop tools for indexing, content-based access and for advanced visualization of videos. We designed a technique for structuring a video sequence in a set of hyper-scenes, where each hyper-scene gathers similar scenes. This method is based on an initial scene shot decomposition assumed to be available. The criteria used to merge the initial shots are based on the use of 1-D mosaic representations (each initial shot is represented using two 1-D mosaic images). The similarity between two scenes is therefore evaluated by comparing their mosaic images. Such comparisons are done here using global statistical similarities, and a region-based matching criterion. These different criteria are embedded in a decision process. The tool has been applied to MPEG-2 compressed content. The 1-D mosaic images are thus computed using the MPEG-2 motion vectors. Then they are approximated by a polygonal representation in order to simplify the comparison process. The video structure is therefore obtained using a clustering algorithm. Experiments show that satisfactory hyper-scene structuration can be obtained.
The project objectives are to develop image and video compression algorithms with optimized rate-allocation algorithms and supporting fine grain scalability. TEMICS focuses on the scalable video compression aspects. The algorithm setting the basis for our contributions is based on a 3-D spatio-temporal decomposition of each Group Of Frames (GOF). A motion estimation based on a quadtree decomposition is incorporated in the temporal filtering in order to obtain a more efficient temporal de-correlation. The spatial decomposition is similar to the technique used in JPEG-2000. The obtained quantized coefficients are therefore coded using a 3-D EBCOT coding method. Furthermore, two GOF coding modes (Intra and Inter) are introduced to take into account the correlation between two successive GOF. The GOF length is chosen in function of the temporal variations between the successive GOF.
BUSMAN develops and integrates indexing and watermarking techniques to ease the search and use of video content. TEMICS contribution is focused on watermarking techniques to enrich video content by hiding meta-data. Different levels of robustness to a range of attacks such as transcoding required for transmission in heterogeneous networks, and compression at various rates must be provided. A first version of the software based on state-of-the-art techniques has been delivered for integration in the BUSMAN demonstrator comprising an authoring tool as well as a client-server delivery architecture over fixed and mobile networks. The technique should evolve to incorporate side-informed embedding solutions in order to improve the performance.
The goal of the OZONE project is to develop a pervasive computing and communication framework which will bring relevant information and services to the individual, anywhere and at anytime. The OZONE project can be viewed as the first step towards concrete ambient intelligence applications. Our contributions to the OZONE project is related to the transmission of the video data throughout the OZONE network. High quality performance of the video transmission system is essential to guarantee the quality of service required by users needs in the context of such applications. Our contribution is related to the study and development of a video transmission platform incorporating mechanisms in support of end-to-end QoS such as congestion control and loss control. The software corresponding to the video transmission loss and network congestion control has been delivered to the project's partners.
The TEMICS team is involved in the STREP DANAE addressing issues of dynamic and distributed adaptation of scalable multimedia content in a context-aware environment. Its objectives are to specify, develop, integrate and validate in a testbed a complete framework able to provide end-to-end quality of (multimedia) service at a minimal cost to the end-user. TEMICS contributes on the aspects of fine grain scalable video coding and on the study of new source codes for increasing the error resiliency of the scalable video coder while preserving its compression and scalable properties. In collaboration with other DANAE partners, TEMICS contributes to different core experiments defined in the context of MPEG-21/SVC: a core experiment on spatial transforms, on error resilience and on coding with multi-rate adaptability.
This ARC (Action de Recherche Coopérative) aims at creating a synergy in the area of geometric objects transmission over networks, and more specifically to study the representation of geometric objects for their transmission over heterogeneous networks. TEMICS contributes by providing compression algorithms for unstructured surface meshes, and techniques for progressive and scalable compression taking into account visual quality criteria.
Fabriano is an ACI (Action Concert«ee Incitative) dedicated to the study of technical solutions to the problem of security based on watermarking and steganography. In particular, this action aims at developing a theoretical framework for stegano-analysis to be applied for the design of algorithms that will allow to detect the presence of a message within a signal in the respect of rights and ethical issues.
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