All posts by Marco Cagnazzo


We have some recent accepted publications in the team:

[1] N. Hobloss, L. Ge, M. Cagnazzo, “A Multi-View Stereoscopic Video Database With Green Screen (MTF) For Video Transition Quality-of-Experience Assessment”, accepted in QoMEx 2021

[2] M. Milovanovic, M. Cagnazzo, F. Henry, J. Jung, “PATCH DECODER-SIDE DEPTH ESTIMATION IN MPEG IMMERSIVE VIDEO”, accepted in IEEE ICASSP’21

[3] T. Karagkioules et al., “Online Learning for Adaptive Video Streaming in Mobile Networks”, accepted in ACM Transactions on Multimedia

Congrats to Nour, Marta and Theo and all the advisoring team!

Article in ICPR

Our work on photographic device quality has been accepted into the conference ICPR. The article is entitled: “DR2S: Deep Regression with Region Selection for Camera Quality Evaluation”.

Congrats to our first author, Marcelin Tworski, and all the team!

MILES project approved

The project named: “MILES – MachIne Learning for Efficient Streaming” has been founded by the Institut Polytechnique de Paris. It will develop, in our Multimedia team, on-line learning methods for improved video streaming over mobile devices.

Congratulations to Attilio Fiandrotti, in charge of the project!

Best paper award

Our article “Cockpit video coding with temporal prediction” byI. Mitrica (MM/IDS et Safran), A. Fiandrotti (MM/IDS), M. Cagnazzo (MM/IDS), C. Ruellan and E. Mercier, has received the Best Paper Award at the “European Workshop on Visual Information Processing” (Rome, Italy, 31/10/2019).

Congrats Iulia !