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20152022
most citedContent-Adaptive Sketch Portrait Generation by Decompositional Representation Learning

48 citations · 81 across the 9 of their papers we have counts for

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5 papers · 1 filter

eess.IV2022

Complexity Reduction of Learned In-Loop Filtering in Video Coding

Woody Bayliss, Luka Murn, Ebroul Izquierdo +2

In video coding, in-loop filters are applied on reconstructed video frames to enhance their perceptual quality, before storing the frames for output. Conventional in-loop filters a…

eess.IV202011 cited

Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression

Maria Santamaria, Saverio Blasi, Ebroul Izquierdo +1

With the increasing demand for video content at higher resolutions, it is evermore critical to find ways to limit the complexity of video encoding tasks in order to reduce costs, p…

eess.IV2020

Estimation of Rate Control Parameters for Video Coding Using CNN

Maria Santamaria, Ebroul Izquierdo, Saverio Blasi +1

Rate-control is essential to ensure efficient video delivery. Typical rate-control algorithms rely on bit allocation strategies, to appropriately distribute bits among frames. As r…

eess.IV2019

Fast Inter-Prediction based on Decision Trees for AV1 encoding

Jieon Kim, Saverio Blasi, Andre Seixas Dias +2

The AOMedia Video 1 (AV1) standard can achieve considerable compression efficiency thanks to the usage of many advanced tools and improvements, such as advanced inter-prediction mo…

eess.IV2018

Convolutional Neural Networks for Video Quality Assessment

Michalis Giannopoulos, Grigorios Tsagkatakis, Saverio Blasi +5

Video Quality Assessment (VQA) is a very challenging task due to its highly subjective nature. Moreover, many factors influence VQA. Compression of video content, while necessary f…