Creating and sharing knowledge for telecommunications

Project: Spatiotemporal compression of volumetric medical images

Acronym: MEDICOMP
Main Objective: In this project, we aim to develop new spatiotemporal prediction tools, as an alternative to the traditional frame-by-frame intra and inter prediction techniques. Since motion estimation is one of most computationally demanding tasks on hybrid video codecs, the alternative spatiotemporal techniques can give an important contribute while developing low complexity/high performance video codecs. Particularly, it was demonstrated that not only the Least-squares prediction can achieve competitive results when compared to the traditional motion estimation, but also that there exists a strong correlation between edges in space and object trajectories in the time domain. Based on these observations, we believe that both the spatial and temporal redundancy can be exploited with similar approaches, namely using three- dimensional coding units.
Reference:
Funding: IT/LA
Start Date: 01-09-2014
End Date: 01-09-2016
Team: Sérgio Manuel Maciel Faria, Nuno Miguel Morais Rodrigues, Luis Alberto da Silva Cruz, André F. R. G., João Miguel Pereira da Silva Santos
Groups: Multimedia Signal Processing – Lr, Multimedia Signal Processing – Co
Partners:
Local Coordinator: Sérgio Manuel Maciel Faria
Associated Publications