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Pascal Frossard

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Publications associées (428)

Distributed Rate Allocation in Switch-Based Multiparty Videoconferencing System

Pascal Frossard, Sergio Mena, Stefano D'Aronco

Multiparty videoconferences, or more generally multiparty video calls, are gaining a lot of popularity as they offer a rich communication experience. These applications have, however, large requirements in terms of both network and computational resources ...

2017

Graph-based Isometry Invariant Representation Learning

Pascal Frossard, Renata Khasanova

Learning transformation invariant representations of visual data is an important problem in computer vision. Deep convolutional networks have demonstrated remarkable results for image and video classification tasks. However, they have achieved only limited ...

2017

Improved Utility-based Congestion Control for Low-Delay Communication

Pascal Frossard, Sergio Mena, Laura Toni, Stefano D'Aronco

Due to the presence of buffers in the inner network nodes, each congestion event leads to buffer queueing and thus to an increasing end-to-end delay. In the case of delay sensitive applications, a large delay might not be acceptable and a solution to prope ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Introduction to the COOPERATIVE SPECIAL ISSUE ON GRAPH SIGNAL PROCESSING IN THE IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING AND THE IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS

Pascal Frossard, Pier Luigi Dragotti

Ieee-Inst Electrical Electronics Engineers Inc2017

Price-based Controller for Utility-aware HTTP Adaptive Streaming

Pascal Frossard, Laura Toni, Stefano D'Aronco

HTTP Adaptive Streaming (HAS) permits to efficiently deliver video to multiple heterogenous users in a fully distributed way. This might however lead to unfair bandwidth utilization among HAS users. Therefore, network-assisted HAS systems have been propose ...

Institute of Electrical and Electronics Engineers2017

Reinforcement Learning-Based Opportunistic Routing for Live Video Streaming over Multi-Hop Wireless Networks

Pascal Frossard, Chenglin Li, Kexin Tang

Real-time video services are usually delay sensitive and have strict constraints on the transmission reliability, which poses challenges to live video streaming over multi-hop wireless networks, since the unpredictable packet losses and network congestions ...

2017

Optimal Representations for Adaptive Streaming in Interactive Multiview Video Systems

Pascal Frossard, Laura Toni

Interactive multiview video streaming (IMVS) services permit to remotely navigate within a 3D scene with an immersive experience. This is possible by transmitting a set of reference camera views (anchor views), which are used by the clients to freely navig ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Optimal Decentralized Coded Caching for Heterogeneous Files

Pascal Frossard, Chenglin Li

2017

Introduction to the IEEE Journal on Selected Topics in Signal Processing and IEEE Transactions on Signal and Information Processing Over Networks Joint Special Issue on Graph Signal Processing

Pascal Frossard, Pier Luigi Dragotti

The papers in this special issue are intended to address some of the main research challenges in Graph Signal Processing by presenting a collection of the latest advances in the domain. These papers examine key representation, learning and processing aspec ...

2017

Graph-Based Interpolation for Zooming in 3D Scenes

Pascal Frossard, Pinar Akyazi

In multiview systems, color plus depth format builds 3D representations of scenes within which the users can freely navigate by changing their viewpoints. In this paper we present a framework for view synthesis when the user requests an arbitrary viewpoint ...

2017

Multi-task additive models with shared transfer functions based on dictionary learning

Pascal Frossard, Alhussein Fawzi

Additive models form a widely popular class of regression models which represent the relation between covariates and response variables as the sum of low-dimensional transfer functions. Besides flexibility and accuracy, a key benefit of these models is the ...

Institute of Electrical and Electronics Engineers2017

Optimized Receiver Control in Interactive Multiview Video Streaming Systems

Pascal Frossard, Laura Toni, Xue Zhang, Yao Zhao

2017

The Robustness of Deep Networks - A geometric perspective

Pascal Frossard, Alhussein Fawzi, Seyed Mohsen Moosavi Dezfooli

Deep neural networks have recently shown impressive classification performance on a diverse set of visual tasks. When deployed in real-world (noise-prone) environments, it is equally important that these classifiers satisfy robustness guarantees: small per ...

Institute of Electrical and Electronics Engineers2017

Wide-baseline object interpolation using shape prior regularization of epipolar plane images

Pascal Frossard, Christophe De Vleeschouwer, Thomas Maugey

This paper considers the synthesis of intermediate views of an object captured by two calibrated and widely spaced cameras. Based only on those two very different views, our paper proposes to reconstruct the object Epipolar Plane Image Volume [1] (EPIV), w ...

2017

Graph learning under sparsity priors

Pascal Frossard, Ntorina Thanou, Hermina Petric Maretic

Graph signals offer a very generic and natural representation for data that lives on networks or irregular structures. The actual data structure is however often unknown a priori but can sometimes be estimated from the knowledge of the application domain. ...

Ieee2017

Learning time varying graphs

Pascal Frossard, Ntorina Thanou, Vasilis Kalofolias, Andreas Loukas

We consider the problem of inferring the hidden structure of high-dimensional dynamic systems from the perspective of graph learning. In particular, we aim at capturing the dynamic relationships between nodes by a sequence of graphs. Our approach is motiva ...

Ieee2017

Sparse molecular image representation

Pascal Frossard, Sofia Karygianni

Sparsity-based models have proven to be very effective in most image processing applications. The notion of sparsity has recently been extended to structured sparsity models where not only the number of components but also their support is important. This ...

Elsevier2016

Geometry-driven quantization for omnidirectional image coding

Pascal Frossard, Francesca De Simone

In this paper we propose a method to adapt the quantization tables of typical block-based transform codecs when the input to the encoder is a panoramic image resulting from equirectangular projection of a spherical image. When the visual content is project ...

2016

Encoder-Driven Inpainting Strategy in Multiview Video Compression

Pascal Frossard, Thomas Maugey, Yu Gao

In free viewpoint video systems, where a user has the freedom to select a virtual view from which an observation image of the 3D scene is rendered, the scene is commonly represented by texture and depth images from multiple nearby viewpoints. In such repre ...

Institute of Electrical and Electronics Engineers2016

Graph-Based Representation and Coding of Multiview Images

Pascal Frossard, Bénédicte Motz

Instead of lossily coding depth images resulting in undesirable geometric distortion, graph-based representation (GBR) describes disparity information as a graph with a controllable accuracy. In this paper, we propose a more compact graphical representatio ...

Ieee2016

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