All posts by Marco Cagnazzo

Compression, Deep learning, Publication

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.

Séminaire

Invited talk: “Virtual Reality: from Neuroscience to Media Streaming”

Our next seminar!

Date : Friday Feb 2nd 2018
Hour : 13h30
Room : C48
Title : Virtual Reality: from Neuroscience to Media Streaming
Abstract:
Immersive Virtual Reality is transitioning, at a remarkable pace, from a tool for fundamental research in cognitive neuroscience, therapy and rehabilitation to a consumer product for training, education and entertainment.
In this talk I will review some highlights of this remarkable transition. The talk will have three parts.
1) Review some of the known principles and well estabhised mechanisms of Virtual Reality science, as they can be found in the relevant litterature,
2) Introduce some of the ongoing initiatives in terms of capture technologies, encoding mechanisms, and delivery infrastructure fostered by the transformation of VR into a consumer product
3) Discuss, hopefully in interaction with the audience, where we are heading, what might happen in the near future, and what we can do to address the challenges and oportunities associated with this medium.

Speaker:
Dr. Joan Llobera (male) is an electrical engineer and an academic researcher working at the conjunction of cognitive sciences and virtual reality. He obtained a double diploma in Electrical Engineering (Universitat Politècnica de Catalunya and Télécom Paris), holds 2 Masters, one in cognitive sciences (EHESS) and another in software (UPC), and in 2012 obtained a PhD at the Universitat de Barcelona on the topic of Stories in Virtual Reality, which received a Cum Laude qualification. He also worked as a postdoc researcher at the Ecole Polytechnique Fédérale de Lausanne. Since September 2015 he is a senior researcher at the i2CAT foundation.