Home

Person

Pascal Frossard

About
Privacy
Disclaimer

Graph Chatbot

Related publications (427)

Page 3 of 22

Bit Rate Allocation for Disparity Estimation from Compressed Images

Pascal Frossard, Vijayaraghavan Thirumalai

This paper presents a novel rate allocation scheme to compute the 3D structure of the scene from compressed stereo images, captured by the distributed vision sensor networks. The images captured at different view points are encoded independently with a bal ...

2009

Media Flow Rate Allocation in Multipath Networks

Pascal Frossard, Dan Jurca

We address the problem of joint path selection and video source rate allocation in multipath streaming in order to optimize a media specific quality of service. An optimization problem is proposed, which aims at minimizing a video distortion metric based o ...

2007

Interactive Multiview Video System With Low Complexity 2D Look Around at Decoder

Pascal Frossard, Thomas Maugey

Multiview video with interactive and smooth view switching at the receiver is a challenging application with several issues in terms of effective use of storage and bandwidth resources, reactivity of the system, quality of the viewing experience and system ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Structured Sparse Coding for Image Denoising or Pattern Detection

Pascal Frossard, Sofia Karygianni

Sparsity has been one of the major drives in signal processing in the last decade. Structured sparsity has also lately emerged as a way to enrich signal priors towards more meaningful and accurate representations. In this paper we propose a new structured ...

2014

Structured Dimensionality Reduction for Additive Model Regression

Pascal Frossard, Alhussein Fawzi

Additive models are regression methods which model the response variable as the sum of univariate transfer functions of the input variables. Key benefits of additive models are their accuracy and interpretability on many real-world tasks. Additive models a ...

Institute of Electrical and Electronics Engineers2016

Rate-Distortion Optimized Distributed Packet Scheduling of Multiple Video Streams over Shared Communication Resources

Pascal Frossard

We consider the problem of distributed packet selection and scheduling for multiple video streams sharing a communication channel. An optimization framework is proposed, that enables the multiple senders to coordinate their packet transmission schedules, s ...

2006

Distributed wireless video caching placement for dynamic adaptive streaming

Pascal Frossard

Caching at edge servers can smooth the temporal traffic variability and reduce the service load of base stations in wireless streaming. However, the assignment of the cached content for possibly multiple versions of different video sequences is still a cha ...

2016

Scalable Video Dissemination with Prioritized Network Coding

Pascal Frossard, Nikolaos Thomos, Eymen Kurdoglu

In this paper, we present a pull-based dissemination protocol for efficient distribution of scalable video content in overlay peer-to-peer networks with mesh structures. The proposed protocol employs prioritized network coding, where the network coded pack ...

2011

Reconstruction of Network Coded Sources From Incomplete Datasets

Pascal Frossard, Nikolaos Thomos, Eirina Bourtsoulatze

We investigate the problem of recovering source information from an incomplete set of network coded data with help of prior information about the sources. This problem naturally arises in wireless networks, where the number of network coded packets availab ...

Institute of Electrical and Electronics Engineers2015

Luminance coding in graph-based representation of multiview images

Pascal Frossard, Thomas Maugey

Multi-view video transmission poses great challenges because of its data size and dimension. Therefore, how to design efficient 3D scene representations and coding (of luminance and geometry) has become a critical research topic. Recently, the graph-based ...

2014

Tangent space estimation for smooth embeddings of Riemannian manifolds

Pascal Frossard, Elif Vural, Hemant Tyagi

Numerous dimensionality reduction problems in data analysis involve the recovery of low-dimensional models or the learning of manifolds underlying sets of data. Many manifold learning methods require the estimation of the tangent space of the manifold at a ...

Oxford University Press2013

Sparse stereo image coding with learned dictionaries

Pascal Frossard, Ivana Tosic, Dimitri Palaz

This paper proposes a framework for stereo image coding with effective representation of geometry in 3D scenes. We propose a joint sparse approximation framework for pairs of perspective images that are represented as linear expansions of atoms selected fr ...

2011

Correlation-Aware Reconstruction of Network Coded Sources

Pascal Frossard, Nikolaos Thomos, Eirina Bourtsoulatze

In this paper, we consider the problem of decoding network coded correlated data when the decoder does not receive sufficient information for exact decoding. We propose an iterative decoding algorithm based on belief propagation that efficiently exploits t ...

2012

Prioritized Random MAC Optimization via Graph-based Analysis

Pascal Frossard, Laura Toni

Motivated by the analogy between successive interference cancellation and iterative belief-propagation on erasure channels, irregular repetition slotted ALOHA (IRSA) strategies have received a lot of attention in the design of medium access control protoco ...

Institute of Electrical and Electronics Engineers2015

A graph learning approach for light field image compression

Pascal Frossard, Touradj Ebrahimi, Hermina Petric Maretic, Irene Viola

In recent years, light field imaging has attracted the attention of the academic and industrial communities thanks to its enhanced rendering capabilities that allow to visualise contents in a more immersive and interactive way. However, those enhanced capa ...

Spie-Int Soc Optical Engineering2018

Profit Optimization for Wireless Video Broadcasting Systems Based on Polymatroidal Analysis

Pascal Frossard

This study addresses the problem of profit maximization between wireless service providers (WSPs) and content providers (CPs) in wireless broadcasting systems, while simultaneously providing high quality of experience for end-users (EUs). We first study th ...

2015

Packet Media Streaming with Imprecise Rate Estimation

Pascal Frossard, Dan Jurca

We address the problem of delay-constrained streaming of multimedia packets over dynamic bandwidth channels. Efficient streaming solutions generally rely on the knowledge of the channel bandwidth, in order to select the media packets to be transmitted, acc ...

2007

Distributed Graph Learning With Smooth Data Priors

Pascal Frossard, Mireille El Gheche, Isabela Cunha Maia Nobre

Graph learning is often a necessary step in processing or representing structured data, when the underlying graph is not given explicitly. Graph learning is generally performed centrally with a full knowledge of the graph signals, namely the data that live ...

IEEE2022

Adaptive and robust media streaming over multiple channels with bursty losses

Pascal Frossard, Jean-Paul Wagner

This paper addresses the problem of efficiently delivering a layered media stream from multiple senders to a single receiver, over channels that present correlated packet loss patterns. Using a digital fountain approach, the performance of a distributed st ...

2007

P2P Video Streaming with Inter-session Network Coding

Pascal Frossard, Nikolaos Thomos, Eirina Bourtsoulatze

We present a novel receiver-driven p2p system for delivery of multiple concurrent time constrained data streams in overlay networks. We propose an effective combination of rateless coding with intra- and inter-session network coding to efficiently exploit ...

2011