activity
20112023
most citedOSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression

29 citations · 118 across the 13 of their papers we have counts for

collaborators
Showing cs.ITShow all

6 papers · 1 filter

cs.IT2023

Complementary Graph Entropy, AND Product, and Disjoint Union of Graphs

Nicolas Charpenay, Maël le Treust, Aline Roumy

In the zero-error Slepian-Wolf source coding problem, the optimal rate is given by the complementary graph entropy of the characteristic graph. It has no single-lett…

cs.IT2022

Optimal Zero-Error Coding for Computing under Pairwise Shared Side Information

Nicolas Charpenay, Maël le Treust, Aline Roumy

We study the zero-error source coding problem in which an encoder with Side Information (SI) transmits source symbols to a decoder. The decoder has SI and wants to r…

cs.IT2018

Rate-Distortion Performance of Sequential Massive Random Access to Gaussian Sources with Memory

Elsa Dupraz, Thomas Maugey, Aline Roumy +1

In Sequential Massive Random Access (SMRA), a set of correlated sources is jointly encoded and stored on a server, and clients want to access to only a subset of the sources. Since…

cs.IT2016★ 2 cited

Transmission and Storage Rates for Sequential Massive Random Access

Elsa Dupraz, Thomas Maugey, Aline Roumy +1

This paper introduces a new source coding paradigm called Sequential Massive Random Access (SMRA). In SMRA, a set of correlated sources is encoded once for all and stored on a serv…

cs.IT2014★ 20 cited

Operational Rate-Distortion Performance of Single-source and Distributed Compressed Sensing

Giulio Coluccia, Aline Roumy, Enrico Magli

We consider correlated and distributed sources without cooperation at the encoder. For these sources, we derive the best achievable performance in the rate-distortion sense of any…

cs.IT2014★ 2 cited

Exact Performance Analysis of the Oracle Receiver for Compressed Sensing Reconstruction

Giulio Coluccia, Aline Roumy, Enrico Magli

A sparse or compressible signal can be recovered from a certain number of noisy random projections, smaller than what dictated by classic Shannon/Nyquist theory. In this paper, we…