Supervisor: Marco Cagnazzo
Creation Date: 09/10/2025 11:43
In this thesis, we explore state-of-the-art methods for future frame prediction.
After the bibliographical research, the goal is to set up the most recent methods and compare them, considering not only the image quality but also the execution time in real systems.
Dataset type: Already acquired data
Dataset description: We use public video databases
List of Methods: Neural networks Video analysis Motion estimation
Multimedia Communications Neural networks and deep learning