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Pascal Frossard

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Publications associées (427)

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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

Optimal Selection of Adaptive Streaming Representations

Pascal Frossard, Laura Toni

Adaptive streaming addresses the increasing and heterogenous demand of multimedia content over the Internet by offering several encoded versions for each video sequence. Each version (or representation) has a different resolution and bit rate, aimed at a s ...

Association for Computing Machinery2015

SafeAMC: Adversarial training for robust modulation classification models

Pascal Frossard, Javier Alejandro Maroto Morales

In communication systems, there are many tasks, like modulation classification, for which Deep Neural Networks (DNNs) have obtained promising performance. However, these models have been shown to be susceptible to adversarial perturbations, namely impercep ...

IEEE2022

Wyner-Ziv coding of multi-view omnidirectional images with overcomplete decompositions

Pascal Frossard, Ivana Tosic

This paper addresses the problem of distributed coding of light fields in camera networks. A novel distributed coding scheme with side information is presented, based on spherical image expansion over an overcomplete dictionary of geometric atoms. We propo ...

2007

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

Distributed Media Rate Allocation in Multipath Networks

Pascal Frossard, Dan Jurca

The paper addresses the media-specific rate allocation problem in multipath networks. The streaming rate on each path is determined such that the end- to-end media distortion is minimized, when the receiving client aggregates packets received via multiple ...

2008

Joint Reconstruction of Multi-view Compressed Images

Pascal Frossard, Vijayaraghavan Thirumalai

The distributed representation of correlated multi-view images is an important problem that arise in vision sensor networks. This paper concentrates on the joint reconstruction problem where the distributively compressed correlated images are jointly decod ...

Institute of Electrical and Electronics Engineers2013

A Poisson Hidden Markov Model for Multiview Video Traffic

Pascal Frossard, Lorenzo Rossi

Multiview video has recently emerged as a means to improve user experience in novel multimedia services. We propose a new stochastic model to characterize the traffic generated by a Multiview Video Coding (MVC) variable bit-rate source. To this aim, we res ...

2015

Distributed Signal Processing via Chebyshev Polynomial Approximation

Pascal Frossard, Pierre Vandergheynst, Daniel Kressner, David Shuman

Unions of graph multiplier operators are an important class of linear operators for processing signals defined on graphs. We present a novel method to efficiently distribute the application of these operators. The proposed method features approximations of ...

2018

l1 Regularized Super-resolution From Unregistered Omnidirectional Images

Pascal Frossard, Zafer Arican

In this paper, we address the problemof super-resolution from multiple low-resolution omnidirectional images with inexact registration. Such a problem is typically encountered in omnidirectional vision scenarios with reduced resolution sensors in imperfect ...

2009

Growth Codes: Intermediate Performance Analysis and Application to Video

Pascal Frossard, Nikolaos Thomos, Rethnakaran Pulikkoonattu

Growth codes are a subclass of Rateless codes that have found interesting applications in data dissemination problems. Compared to other Rateless and conventional channel codes, Growth codes show improved intermediate performance which is particularly usef ...

Institute of Electrical and Electronics Engineers2013

SparseFool: a few pixels make a big difference

Pascal Frossard, Seyed Mohsen Moosavi Dezfooli, Apostolos Modas

Deep Neural Networks have achieved extraordinary results on image classification tasks, but have been shown to be vulnerable to attacks with carefully crafted perturbations of the input data. Although most attacks usually change values of many image's pixe ...

IEEE2019

Learning Laplacian Matrix in Smooth Graph Signal Representations

Pascal Frossard, Pierre Vandergheynst, Ntorina Thanou, Xiaowen Dong

The construction of a meaningful graph plays a crucial role in the success of many graph-based representations and algorithms for handling structured data, especially in the emerging field of graph signal processing. However, a meaningful graph is not alwa ...

Institute of Electrical and Electronics Engineers2016

Markov Decision Process Based Energy-Efficient On-Line Scheduling for Slice Parallel Video Decoders on Multicore Systems

Pascal Frossard, David Atienza Alonso, Karim Kanoun

We consider the problem of energy-efficient on-line scheduling for slice-parallel video decoders on multicore systems. We assume that each of the processors are Dynamic Voltage Frequency Scaling (DVFS) enabled such that they can independently trade off per ...

Ieee-Inst Electrical Electronics Engineers Inc2013

MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation

Pascal Frossard

This work introduces MiDi, a novel diffusion model for jointly generating molecular graphs and their corresponding 3D atom arrangements. Unlike existing methods that rely on predefined rules to determine molecular bonds based on the 3D conformation, MiDi o ...

Springer International Publishing Ag2023

Distributed sensor failure detection in sensor networks

Pascal Frossard, Nikolaos Thomos, Tamara Tosic

We investigate the problem of distributed sensors' failure detection in networks with a small number of defective sensors, whose measurements differ significantly from neighbouring sensor measurements. We build on the sparse nature of the binary sensor fai ...

Elsevier Science Bv2013

Graph-Based vs Depth-Based Data Representation for Multiview Images

Pascal Frossard, Thomas Maugey

In this paper, we propose a representation and coding method for multiview images. As an alternative to depth-based schemes, we propose a representation that captures the geometry and the dependencies between pixels in different views in the form of connec ...

2013

Distance-Based Discretization of Parametric Signal Manifolds

Pascal Frossard, Elif Vural

The characterization of signals and images in manifolds often lead to efficient dimensionality reduction algorithms based on manifold distance computation for analysis or classification tasks. We propose in this paper a method for the discretization of sig ...

2010

Distributed Signal Processing with Graph Spectral Dictionaries

Pascal Frossard, Ntorina Thanou

2015

Dictionary Learning for Efficient Classification based on Soft-Thresholding

Pascal Frossard, Alhussein Fawzi

2014