Search Results for author: Fatemeh Nasiri

Found 4 papers, 0 papers with code

Ensemble Learning for Efficient VVC Bitrate Ladder Prediction

no code implementations21 Jul 2022 Fatemeh Nasiri, Wassim Hamidouche, Luce Morin, Nicolas Dholland, Jean-Yves Aubié

When compared to static bitrate ladder, the proposed method can offer about 13% bitrate reduction in terms of BD-BR with a negligible additional computational overhead.

Ensemble Learning

Prediction-Aware Quality Enhancement of VVC Using CNN

no code implementations8 Dec 2021 Fatemeh Nasiri, Wassim Hamidouche, Luce Morin, Nicolas Dhollande, Gildas Cocherel

The upcoming video coding standard, Versatile Video Coding (VVC), has shown great improvement compared to its predecessor, High Efficiency Video Coding (HEVC), in terms of bitrate saving.

A CNN-based Prediction-Aware Quality Enhancement Framework for VVC

no code implementations12 May 2021 Fatemeh Nasiri, Wassim Hamidouche, Luce Morin, Nicolas Dhollande, Gildas Cocherel

This paper presents a framework for Convolutional Neural Network (CNN)-based quality enhancement task, by taking advantage of coding information in the compressed video signal.

Quantization

Model Selection CNN-based VVC QualityEnhancement

no code implementations7 May 2021 Fatemeh Nasiri, Wassim Hamidouche, Luce Morin, Nicolas Dhollande, Gildas Cocherel

Moreover, an optional Model Selection (MS) strategy is adopted to pick the best trained model among available ones at the encoder side and signal it to the decoder side.

Decoder Model Selection +1

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