activity
20202026
most citedEstimation of Rate Control Parameters for Video Coding Using CNN

18 citations · 36 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2026

CASR: Content-Adaptive Neural Super-Resolution Post-Filter for Versatile Video Coding via Low-Rank Overfitting

Khoa Pham-Dinh, Francesco Cricri, Maria Santamaria +5

The use of super-resolution as a post-processing step following a video codec allows videos to be encoded at reduced spatial resolution at the encoder side and to be reconstructed…

eess.IV2022★ 6 cited

Coding of volumetric content with MIV using VVC subpictures

Maria Santamaria, Vinod Kumar Malamal Vadakital, Lukasz Kondrad +2

Storage and transport of six degrees of freedom (6DoF) dynamic volumetric visual content for immersive applications requires efficient compression. ISO/IEC MPEG has recently been w…

eess.IV2021★ 1 cited

Towards Transparent Application of Machine Learning in Video Processing

Luka Murn, Marc Gorriz Blanch, Maria Santamaria +2

Machine learning techniques for more efficient video compression and video enhancement have been developed thanks to breakthroughs in deep learning. The new techniques, considered…

eess.IV2020★ 11 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★ 18 cited

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…