Publications de Pascal Frossard

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Learning from sparse codes

Pascal Frossard, Sofia Karygianni

In this paper we address the problem of learning image structures directly from sparse codes. We first model images as linear combinations of molecules, which are themselves groups of atoms from a redundant dictionary. We then formulate a new structure lea ...

Ieee2016

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

Price-based Controller for Quality-Fair HTTP Adaptive Streaming

Pascal Frossard, Laura Toni, Stefano D'Aronco

HTTP adaptive streaming (HAS) has become the universal technology for video streaming over the Internet. Many HAS system designs aim at sharing the network bandwidth in a rate-fair manner. However, rate fairness is in general not equivalent to quality fair ...

IEEE2016

Image Inpainting through Neural Networks Hallucinations

Pascal Frossard, Alhussein Fawzi

We consider in this paper the problem of image inpainting, where the objective is to reconstruct large continuous regions of missing or deteriorated parts of an image. Traditional inpainting algorithms are unfortunately not well adapted to handle such corr ...

Ieee2016

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

Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers

Pascal Frossard, Nikolaos Thomos, Eymen Kurdoglu

In this paper, we deal with the problem of jointly determining the optimal coding strategy and the scheduling decisions when receivers obtain layered data from multiple servers. The layered data is encoded by means of prioritized random linear coding (PRLC ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Multiscale event detection in social media

Pascal Frossard, Xiaowen Dong

Event detection has been one of the most important research topics in social media analysis. Most of the traditional approaches detect events based on fixed temporal and spatial resolutions, while in reality events of different scales usually occur simulta ...

Springer2015

Optimized Packet Scheduling in Multiview Video Navigation Systems

Pascal Frossard, Thomas Maugey, Laura Toni

In multiview video systems, multiple cameras generally acquire the same scene from different perspectives, such that users have the possibility to select their preferred viewpoint. This results in large amounts of highly redundant data, which needs to be p ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Pascal Frossard

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Measuring the effect of nuisance variables on classifiers

Learning from sparse codes

Geometry-driven quantization for omnidirectional image coding

Price-based Controller for Quality-Fair HTTP Adaptive Streaming

Image Inpainting through Neural Networks Hallucinations

Reconstruction of Network Coded Sources From Incomplete Datasets

A Poisson Hidden Markov Model for Multiview Video Traffic

Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers

Multiscale event detection in social media

Optimized Packet Scheduling in Multiview Video Navigation Systems

Geometry-driven quantization for omnidirectional image coding

A Poisson Hidden Markov Model for Multiview Video Traffic

Price-based Controller for Quality-Fair HTTP Adaptive Streaming

Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers

Reconstruction of Network Coded Sources From Incomplete Datasets

Image Inpainting through Neural Networks Hallucinations

Optimized Packet Scheduling in Multiview Video Navigation Systems

Multiscale event detection in social media

Learning from sparse codes

Measuring the effect of nuisance variables on classifiers