Publications associées à H.264

Optimal Lagrange Multipliers for Dependent Rate Allocation in Video Coding

Pascal Frossard, Ana Karina De Abreu Goes

In a typical video rate allocation problem, the objective is to optimally distribute a source rate budget among a set of (in)dependently coded data units to minimize the total distortion. Conventional Lagrangian approaches convert the lone rate constraint ...

Elsevier2018

Shared-variable Synchronization Approaches for Dynamic Data Flow Programs

Marco Mattavelli, Simone Casale Brunet, Endri Bezati, Apostolos Modas, Junaid Jameel Ahmad

This paper presents shared-variable synchronization approaches for dataflow programming. The mechanisms do not require any substantial model of computation (MoC) modification, and is portable across both for hardware (HW) and software (SW) low-level code s ...

IEEE2018

Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching.

François Fleuret, Anton Ivanov, Stepan Tulyakov

End-to-end deep-learning networks recently demonstrated extremely good performance for stereo matching. However, existing networks are difficult to use for practical applications since (1) they are memory-hungry and unable to process even modest-size image ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

Inter-Layer Joint for the TF Coils of DEMO-Design and Test Results

Pierluigi Bruzzone, Kamil Sedlák, Boris Stepanov

In summer 2015, a new reference baseline is issued for the DEMO EUROfusion tokamak. Thereafter, the toroidal field (TF) coils have been updated with the new layout of the react-and-wind conductor proposed by the Swiss Plasma Center (SPC). Each TF coil cons ...

Ieee-Inst Electrical Electronics Engineers Inc2018

Beyond the Pixel-Wise Loss for Topology-Aware Delineation

Pascal Fua, Pablo Marquez Neila, Agata Justyna Mosinska, Mateusz Kozinski

Delineation of curvilinear structures is an important problem in Computer Vision with multiple practical applications. With the advent of Deep Learning, many current approaches on automatic delineation have focused on finding more powerful deep architectur ...

2018

Fast Low-Complexity Decoders for Low-Rate Polar Codes

Alexios Konstantinos Balatsoukas Stimming, Pascal Giard

Polar codes are capacity-achieving error-correcting codes with an explicit construction that can be decoded with low-complexity algorithms. In this work, we show how the state-of-the-art low-complexity decoding algorithm can be improved to better accommoda ...

2018

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

Towards an algebraic network information theory: Simultaneous joint typicality decoding

Michael Christoph Gastpar, Sung Hoon Lim, Adriano Pastore, Chen Feng

Recent work has employed joint typicality encoding and decoding of nested linear code ensembles to generalize the compute-forward strategy to discrete memoryless multiple-access channels (MACs). An appealing feature of these nested linear code ensembles is ...

2017

Performance estimation of program partitions on multi-core platforms, 2016 26th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)

Marco Mattavelli, Simone Casale Brunet, Endri Bezati, Malgorzata Maria Michalska, Junaid Jameel Ahmad

The exploration of different design configurations of dynamic dataflow programs executed on many-core or multi-core platforms is, in general, a very difficult task. Determining a close-to-optimal partitioning, scheduling and buffer dimensioning configurati ...

2017

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

H.264

Optimal Lagrange Multipliers for Dependent Rate Allocation in Video Coding

Shared-variable Synchronization Approaches for Dynamic Data Flow Programs

Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching.

Inter-Layer Joint for the TF Coils of DEMO-Design and Test Results

Beyond the Pixel-Wise Loss for Topology-Aware Delineation

Fast Low-Complexity Decoders for Low-Rate Polar Codes

Optimal Representations for Adaptive Streaming in Interactive Multiview Video Systems

Towards an algebraic network information theory: Simultaneous joint typicality decoding

Performance estimation of program partitions on multi-core platforms, 2016 26th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)

Unsupervised Learning of Long-Term Motion Dynamics for Videos

Graph Chatbot

Chattez avec Graph Search

Shared-variable Synchronization Approaches for Dynamic Data Flow Programs

Inter-Layer Joint for the TF Coils of DEMO-Design and Test Results

Optimal Representations for Adaptive Streaming in Interactive Multiview Video Systems

Optimal Lagrange Multipliers for Dependent Rate Allocation in Video Coding

Unsupervised Learning of Long-Term Motion Dynamics for Videos

Towards an algebraic network information theory: Simultaneous joint typicality decoding

Beyond the Pixel-Wise Loss for Topology-Aware Delineation

Fast Low-Complexity Decoders for Low-Rate Polar Codes

Performance estimation of program partitions on multi-core platforms, 2016 26th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)

Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching.