We have two open PhD positions:
Contact me for more information!
Category Archives: Recherche
Activity report of the MM team
I presented the team activity report in the context of the HCERES evaluation of the lab.
[slideshare id=131600499&doc=mmhceres-190213082651]
Promotion
I have been promoted to Full Professor (starting from Dec 1st 2018)
Poster MMSP 2018
“Quality assessment of deep-learning based image compression”
[slideshare id=132238942&doc=postermmsp2018web-190218143634&type=d]
IEEE TIP Article
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.
New articles (SPIE-ADIP)
- C. Schretter, S. Bettens, B. Pesquet-Popescu, M. Cagnazzo, F. Dufaux, P. Schelkens. “Compressed digital holography: from micro towards macro”
- A. Dricot, J. Jung, M. Cagnazzo, B. Pesquet-Popescu, F. Dufaux. “Improved integral images compression based on multi-view extraction”
Article on Network Coding for Multi-view Video
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.
QoMEX article accepted
Our article about depth map compression by elastic interpolation of contours has been accepted into QoMEX 2015.
Decoded sequences for our ICIP’15 submission
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 |
| Johnny | Johnny |
| 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.
Lossless contour coding: article accepted
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.