Institution
Orange S.A.
Company•Paris, France•
About: Orange S.A. is a company organization based out in Paris, France. It is known for research contribution in the topics: Terminal (electronics) & Signal. The organization has 6735 authors who have published 9190 publications receiving 156440 citations. The organization is also known as: Orange SA & France Télécom.
Papers published on a yearly basis
Papers
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05 Aug 2004TL;DR: By utilizing IMPS technology and transient objects or object identifiers, a method and system can notify registered participants of changes in the status of those transient objects as discussed by the authors, which can be used for distributed queuing for an item of interest and dispatching to similarly interested users, through transitive presence, information concerning corresponding transactions or actions.
Abstract: By utilizing IMPS technology and transient objects or object identifiers, a method and system can notify registered participants of changes in the status of those transient objects. One use of such technology is in the area of on-line auctions, but other uses include the general area of distributed queuing for an item of interest (or a subject of interest) and dispatching to similarly interested users, through transitive presence, information concerning corresponding transactions or actions.
56 citations
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05 Jun 2011TL;DR: The concept of logit equilibrium (LE) is introduced and its interpretation in terms of the trade-off faced by femtocells when experimenting several actions to discover the network, and taking the action to maximize their instantaneous performance is presented.
Abstract: In this paper, recent results in game theory and stochastic approximation are brought together to mitigate the problem of femto-to-macrocell cross-tier interference. The main result of this paper is an algorithm which reduces the impact of interference of femtocells over the existing macrocells. Such algorithm relies on the observations of the signal to interference plus noise ratio (SINR) of all active communications in both macro and femtocells when they are fed back to the corresponding base stations. Based on such observations, femto base stations learn the probability distributions over the feasible transmit configurations (frequency band and power levels) such that a minimum time-average SINR can be guaranteed in the macrocells, at the equilibrium. In this paper, we introduce the concept of logit equilibrium (LE) and present its interpretation in terms of the trade-off faced by femtocells when experimenting several actions to discover the network, and taking the action to maximize their instantaneous performance. Finally, numerical results are given to validate our theoretical findings.
56 citations
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TL;DR: A general design of the coplanar waveguide excited IIFA, traditionally excited by a Microstrip or coaxial excitation, makes also the antenna more suitable to body area network (BAN) context by facilitating the integration on textile fabric or clothes, and the limitation of body effect at the operation frequency.
Abstract: A general design of the coplanar waveguide excited IIFA, traditionally excited by a Microstrip or coaxial excitation is presented. This coplanar excitation permits the bandwidth improvement (from around 10% to 50%) by the creation of a new resonance on the ground plane. It makes also the antenna more suitable to body area network (BAN) context by facilitating the integration on textile fabric or clothes, and the limitation of body effect at the operation frequency. The antenna principle is analyzed and general designs are presented. As application; a solution of a meandered IIFA integrated on Denim substrate is realized. All results are validated through comparative simulations and measurements.
56 citations
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01 Oct 2007TL;DR: A taxonomy of augmented and non augmented functions is proposed, aspects of the development are presented and reasons that could favor or slow down the integration of Augmented Reality in mobile museum guides are tackled down.
Abstract: Augmented Reality (AR), a computer science field considered by many as a subfield of the broader concept of Mixed Reality, could alter dramatically the way we interact not only with computers but also with the real environment surrounding us, as well as with other human beings. Augmented Reality has so far been used for applications linked with military training, medicine, maintenance, architecture and urban planning, tourism, and entertainment. This last category embraces museums, considered by many not only as research and exhibition spaces but also as important informal learning environments. Does Augmented Reality has the potential to break into museum and exhibition environments and revolutionize the way we see, approach and comprehend the exposed exhibits, alongside with more traditional interpretation and communication methods? This presentation examines both the state of the art in Augmented Reality Applications for Cultural Heritage and Mobile Multimedia Guides for the museum setting, proposing an Augmented Reality approach for the last. A taxonomy of augmented and non augmented functions is proposed, aspects of the development are presented and reasons that could favor or slow down the integration of Augmented Reality in mobile museum guides are tackled down. The potential mutual benefits both for the Augmented Reality community as well as for cultural heritage professional are also presented briefly.
56 citations
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TL;DR: The proposed spatio-temporal auto regressive model for frame rate upconversion is able to yield the interpolated frames with high performance in terms of both subjective and objective qualities.
Abstract: This paper proposes a spatio-temporal auto regressive (STAR) model for frame rate upconversion. In the STAR model, each pixel in the interpolated frame is approximated as the weighted combination of a sample space including the pixels within its two temporal neighborhoods from the previous and following original frames as well as the available interpolated pixels within its spatial neighborhood in the current to-be-interpolated frame. To derive accurate STAR weights, an iterative self-feedback weight training algorithm is proposed. In each iteration, first the pixels of each training window in the interpolated frames are approximated by the sample space from the previous and following original frames and the to-be-interpolated frame. And then the actual pixels of each training window in the original frame are approximated by the sample space from the previous and following interpolated frames and the current original frame with the same weights. The weights of each training window are calculated by jointly minimizing the distortion between the interpolated frames in the current and previous iterations as well as the distortion between the original frame and its interpolated one. Extensive simulation results demonstrate that the proposed STAR model is able to yield the interpolated frames with high performance in terms of both subjective and objective qualities.
56 citations
Authors
Showing all 6762 results
Name | H-index | Papers | Citations |
---|---|---|---|
Patrick O. Brown | 183 | 755 | 200985 |
Martin Vetterli | 105 | 761 | 57825 |
Samy Bengio | 95 | 390 | 56904 |
Aristide Lemaître | 75 | 712 | 22029 |
Ifor D. W. Samuel | 74 | 605 | 23151 |
Mischa Dohler | 68 | 355 | 19614 |
Isabelle Sagnes | 67 | 753 | 18178 |
Jean-Jacques Quisquater | 65 | 335 | 18234 |
David Pointcheval | 64 | 298 | 19538 |
Emmanuel Dupoux | 63 | 267 | 14315 |
David Gesbert | 63 | 456 | 24569 |
Yonghui Li | 62 | 697 | 15441 |
Sergei K. Turitsyn | 61 | 722 | 14063 |
Joseph Zyss | 61 | 434 | 17888 |
Jean-Michel Gérard | 58 | 421 | 14896 |