We have two open PhD positions:
Contact me for more information!
I presented the team activity report in the context of the HCERES evaluation of the lab.
I have been promoted to Full Professor (starting from Dec 1st 2018)
“Quality assessment of deep-learning based image compression”
Our paper about rate control and allocation for HEVC (first author: N. Fiengo) has been accepted into IEEE Trans. on Image Processing. Congrats, Nello!
A. Fiengo, G. Chierchia, M. Cagnazzo, B. Pesquet-Popescu. “Rate Allocation in predictive video coding using a Convex Optimization Framework”. In IEEE Transactions on Image Processing, vol. 21, 2016.
Our article about Network Coding for Multiview Video has been accepted in Springer EURASIP Journal on Advances in Signal Processing.
The basic idea is to adapt the scheduler of a multi-view stream (H.264/MVC format) to user preferences, exploiting Network Coding to maximize the PSNR.
The article is in Open Acces on the journal web site and in the Publications/Journals section of this site.
Our article about depth map compression by elastic interpolation of contours has been accepted into QoMEX 2015.
The decoded video sequences for our submission to ICIP’15 are available here. Each file is about 300MB.
|Reference method||Proposed method|
|Four People||Four People|
|Kirsten and Sarah||Kirsten and Sarah|
The use case is the following. The three HEVC class-E sequences (Four_People, Johnny, Kirsten_and_Sarah) have been encoded with the proposed method (our ICIP’15 submission) and the standard HEVC encoder (HM13). Then we simulated transmission on a lossy channel, using a Gilbert-Elliot model. Finally, we decoded the received packets, employing a simple error concealement technique. These videos show the superiority of the proposed scheme with respect to the reference.
Our article on lossless contour coding has been accepted in APSIPA Transaction in Signal and Information Processing. Congratulations to the first author, our PhD student Marco Calemme.