Publications de Pascal Frossard

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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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

The computation of the geometric transformation between a reference and a target image, known as image registration or alignment, corresponds to the projection of the target image onto the transformation manifold of the reference image (the set of images generated by its geometric transformations). It often takes a nontrivial form such that exact computation of projections on the manifold is difficult. The tangent distance method is an effective alignment algorithm that exploits a linear approximation of th

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 ...

This paper addresses the problem of the transmission of scalable video streams to a set of heterogeneous clients through a common bottleneck channel. The packet scheduling policy is typically crucial in such systems that target smooth media playback at all the receivers. In particular, the playback delays and the transmission strategy for the packets of the different layers have to be chosen carefully. When the same video is sent simultaneously to multiple clients that subscribe to different parts of the st

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 ...

We consider the problem of mesh-pull based video broadcast in peer-to-peer networks. We propose a novel algorithm for constructing the distribution overlay, where peers are arranged in neighborhoods that exhibit similar latency values from the origin media server. We analyze the properties of the resulting mesh and show that it increases data sharing between neighbors, hence improves the system performance compared to random constructions. The nodes are further equipped with a novel streaming strategy that

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 ...

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 ...

This paper addresses the problem of choosing the best streaming policy for distortion optimal multipath video delivery, under delay constraints. The streaming policy consists in a joint selection of the video packets to be transmitted, as well as their sending time, and the transmission path. A simple streaming model is introduced, which takes into account the video packet importance, and the dependencies among packets, and allows to compute the quality perceived by the receiver, as a function of the stream

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 ...

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 ...

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 ...

Predicting epileptic seizure dynamics is a complex computational challenge due to the highly nonlinear and variable nature of brain activity. Traditional machine learning models excel at capturing statistical patterns but often struggle with generalization, while physics-based models provide principled descriptions of neural dynamics but lack adaptability to patient-specific data. In this work, we propose a hybrid physics-informed machine learning framework that integrates the Kuramoto coupled-oscillator mo

Pascal Frossard

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Distributed wireless video caching placement for dynamic adaptive streaming

Scalable Video Dissemination with Prioritized Network Coding

Tangent space estimation for smooth embeddings of Riemannian manifolds

Sparse stereo image coding with learned dictionaries

Correlation-Aware Reconstruction of Network Coded Sources

Reconstruction of Network Coded Sources From Incomplete Datasets

Luminance coding in graph-based representation of multiview images

Analysis of image registration with tangent distance

Prioritized Random MAC Optimization via Graph-based Analysis

Joint Playback Delay and Buffer Optimization in Scalable Video Streaming

A graph learning approach for light field image compression

P2P video broadcast with latency and utility optimization

Profit Optimization for Wireless Video Broadcasting Systems Based on Polymatroidal Analysis

Packet Media Streaming with Imprecise Rate Estimation

Distortion Optimized Multipath Video Streaming

Distributed Graph Learning With Smooth Data Priors

Packet Selection and Scheduling for Multipath Video Streaming

Adaptive and robust media streaming over multiple channels with bursty losses

P2P Video Streaming with Inter-session Network Coding

Physics-informed model of epileptic seizure dynamics