Publication
Machine Learning-Based Quality-Aware Power and Thermal Management of Multistream HEVC Encoding on Multicore Servers
Publications associées (93)
JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range
Touradj Ebrahimi, Michela Testolina, Davi Nachtigall Lazzarotto, Vlad Hosu
Visual data play a crucial role in modern society, and the rate at which images and videos are acquired, stored, and exchanged every day is rapidly increasing. Image compression is the key technology that enables storing and sharing of visual content in an ...
2023Landmarking for Navigational Streaming of Stored High-Dimensional Media
Modern media data such as 360 degrees videos and light field (LF) images are typically captured in much higher dimensions than the observers' visual displays. To efficiently browse high-dimensional media, a navigational streaming model is considered: a cli ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022Review of subjective quality assessment methodologies and standards for compressed images evaluation
Touradj Ebrahimi, Michela Testolina
Acquiring and exchanging a large number of pictures has become nowadays a common practice. Therefore, new image compression solutions to optimize the storage resources are in constant demand. In this context, it is essential to have a solid methodology to ...
SPIE2021Multi-Objective Management of Multiprocessor Systems: From Heuristics to Reinforcement Learning
In my thesis, I reveal several already-existing and emerging challenges in multi-objective management of multiprocessor systems, and address them through novel solutions, from heuristics to RL, depending on the complexity of the problem. Conventional multi ...
EPFL2020Image Compression and Quality Assessment using Convolutional Neural Networks
The rapid development of digital imaging and video has placed visual contents in the heart of our lives. Digital multimedia span a vast number of areas from business to leisure, including but not limited to education, medicine, accessibility, training, adv ...
EPFL2020Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning
David Atienza Alonso, Marina Zapater Sancho, Luis Maria Costero Valero, Arman Iranfar
The advent of online video streaming services along with the users' demand for high-quality contents require High Efficiency Video Coding (HEVC), which provides higher quality and compression at the cost of increased complexity. On one hand, HEVC exposes a ...
2020MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding
David Atienza Alonso, Marina Zapater Sancho, Luis Maria Costero Valero, Arman Iranfar
Real-time video transcoding has recently raised as a valid alternative to address the ever-increasing demand for video contents in servers' infrastructures in current multi-user environments. High Efficiency Video Coding (HEVC) makes efficient online trans ...
IEEE2019A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs
David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar, William Andrew Simon
The design of new streaming systems is becoming a major area of research to deploy services targeted in the Internet-of-Things (IoT) era. In this context, the new High Efficiency Video Coding (HEVC) standard provides high efficiency and scalability of qual ...
2018Dynamic Adaptive Streaming for Multi-Viewpoint Omnidirectional Videos
Pascal Frossard, Francesca De Simone, Xavier Corbillon
Full immersion inside a Virtual Reality (VR) scene requires six Degrees of Freedom (6DoF) applications where the user is allowed to perform translational and rotational movements within the virtual space. The implementation of 6DoF applications is however ...
ASSOC COMPUTING MACHINERY2018On the inference speed and video-compression robustness of DeepLabCut
Pose estimation is crucial for many applications in neuroscience, biomechanics, genetics and beyond. We recently presented a highly efficient method for markerless pose estimation based on transfer learning with deep neural networks called DeepLabCut. Curr ...
Animal Behavior and Cognition2018