most citedLightweight hardware implementation of VVC transform block for ASIC decoder

3 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

eess.IV2020

Binary Probability Model for Learning Based Image Compression

Théo Ladune, Pierrick Philippe, Wassim Hamidouche +2

In this paper, we propose to enhance learned image compression systems with a richer probability model for the latent variables. Previous works model the latents with a Gaussian or…

eess.IV2020

Extending 2D Saliency Models for Head Movement Prediction in 360-degree Images using CNN-based Fusion

Ibrahim Djemai, Sid Fezza, Wassim Hamidouche +1

Saliency prediction can be of great benefit for 360-degree image/video applications, including compression, streaming , rendering and viewpoint guidance. It is therefore quite natu…

eess.IV20203 cited

Lightweight hardware implementation of VVC transform block for ASIC decoder

I. Farhat, W. Hamidouche, A Grill +2

Versatile Video Coding (VVC) is the next generation video coding standard expected by the end of 2020. Compared to its predecessor, VVC introduces new coding tools to make compress…

eess.IV2020

Versatile video coding and super-resolution for efficient delivery of 8K video with 4K backward-compatibility

Charles Bonnineau, Wassim Hamidouche, Jean-Francois Travers +1

In this paper, we propose, through an objective study, to compare and evaluate the performance of different coding approaches allowing the delivery of an 8K video signal with 4K ba…

cs.CV2020

A Fixation-based 360° Benchmark Dataset for Salient Object Detection

Yi Zhang, Lu Zhang, Wassim Hamidouche +1

Fixation prediction (FP) in panoramic contents has been widely investigated along with the booming trend of virtual reality (VR) applications. However, another issue within the fie…

cs.LG2019

Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification

Sid Ahmed Fezza, Yassine Bakhti, Wassim Hamidouche +1

Deep neural networks (DNNs) have recently achieved state-of-the-art performance and provide significant progress in many machine learning tasks, such as image classification, speec…