Three articles have been accepted into IEEE ICASSP :
1) S. Zheng, M. Cagnazzo, M. Kieffer. “CHANNEL IMPULSIVE NOISE MITIGATION FOR LINEAR VIDEO CODING SCHEMES”
2) L. Wang, A. Fiandrotti, A. Purica, G. Valenzise, M. Cagnazzo. “ENHANCING HEVC SPATIAL PREDICTION BY CONTEXT-BASED LEARNING”
3) P. Nikitin, M. Cagnazzo, J. Jung. “COMPRESSION IMPROVEMENT VIA REFERENCE ORGANIZATION FOR 2D-MULTIVIEW CONTENT”.
Congrats to Shuo, Li and Pavel.
Category Archives: Publication
Article in IEEE Transactions on Multimedia
Our article entitled “Very Low Bitrate Semantic Compression of Airplane Cockpit Screen Content” has been accepted for publication in IEEE Transactions on Multimedia.
Congratulations to Iulia, our first author.
Poster MMSP 2018
“Quality assessment of deep-learning based image compression”
Best student paper award
Our paper “View-dependent compression of digital hologram based on matching pursuit”, byA. El Rhammad, P. Gioia, A. Gilles, M. Cagnazzo, B. Pesquet-Popescu, published in SPIE Photonics Europe, vol. 10679 (Avril 2018, Strasbourg, France) has been awarded by the Best Student Paper Award. Congratulations to Anas !
http://spie.org/conferences-and-exhibitions/photonics-europe/best-student-paper-awards
Article accepted – MMSP 2018
Our article on quality assessment of compressed images with deep learning techniques has been accepted in the IEEE Multimedia Signal Processing 2018 (MMSP) conference [1].
In this article we use two of the most recent compression methods based on DL, developed respectively by Ballé et al. [2] and by Toderici et al. [3]. The images compressed with these methods were evaluated by a panel of around twenty people. We also considered images compressed with “classical” techniques (HEVC-INTRA (BPG) and JPEG2000). We found that the subjective quality is often better than JPEG2000, and in any case very close. On the other hand, BPG still has better results on average, even if on certain images the method [3] is the best one.
RDV on [1] for more details! (The PDF of this article will be available soon).
[1] G. Valenzise, A. Purica, V. Hulusic, M. Cagnazzo. “Quality Assessment of Deep-Learning-Based Image Compression”. To appear in IEEE Multimedia Signal Processing Workshop, 2018.
[2] J. Ballé, V. Laparra, and E. P. Simoncelli, “End-to-end optimized image compression,” in Int. Conf. on Learning Representations (ICLR), Toulon, France, Apr. 2017.
[3] Toderici G., Vincent D., Johnston N., Hwang S., Minnen D, Shor J., Covell M., “Full resolution image compression with recurrent neural networks,” in IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, Jul. 2017, pp. 5435-5443.
(Français) Article sur la compression d’hologrammes numériques accepté
Sorry, this entry is only available in French.
ICASSP article accepted
The paper on power allocation for LVC systems has been accepted into ICASSP’18. Congratulations to the first author Shuo Zheng!
(Français) Election au comité IEEE IVMSP
Sorry, this entry is only available in French.
PhD Antoine Dricot
Antone Dricot achieved its PhD degree defending a thesis entitled: “Light-field image and video compression for future immersive applications”.
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.