[Cmul_merc] Fwd: SAVE THE DATE EURASIP Journal on Image and Video Processing Webinar
Fernando Pereira
fp at lx.it.pt
Wed May 26 09:32:43 WEST 2021
If you want more from me ;-)
-------- Forwarded Message --------
Subject: SAVE THE DATE EURASIP Journal on Image and Video Processing
Webinar
Date: Tue, 25 May 2021 18:59:43 +0000
From: Angelina Wagner <angelina.wagner at springernature.com>
To: Angelina Wagner <Angelina.Wagner at springernature.com>
Dear attendees,
Thank you for attending our monthly EURASIP Journal on Image and Video
Processing <https://jivp-eurasipjournals.springeropen.com/> webinar
series. New webinar videos are available online at
https://vimeo.com/showcase/8005816 <https://vimeo.com/showcase/8005816>.
We hope you can join us on *Wednesday, June 2^nd at 12:30pm CET* for our
next webinar on *Point Cloud Coding: Time for Learning-based
Alternatives* with
Fernando Pereira, Instituto Superior Técnico, Universidade de Lisboa -
Instituto de Telecomunicações!
[06:30 a.m. New-York] – [12:30 p.m. Paris] - [11:30 Lisbon] - [6:30
p.m. Beijing]
*To join the webinar, it is required to pre-register*. The registration
form can be found at: https://forms.gle/LnFuaFcTm8noGh459
<https://forms.gle/LnFuaFcTm8noGh459>
*Abstract*: Multimedia experiences play a growing role in our daily
lives as its overwhelming presence vastly impacts many important
application areas such as entertainment, sports, education,
communication, art and medicine. The recent emergence of powerful
imaging sensors is allowing to acquire much richer, faithful, realistic
and immersive representations of the visual scenes, notably 3D visual
representations, thus offering the users high quality experiences with
navigation and immersion functionalities. The light information
associated to these richer visual representations may be modelled by the
so-called plenoptic function, which has a limited number of practical
acquisition models; the light field and point cloud representation
models deserve special reference. Both these representation models have
the potential to offer the so-called 6 Degrees of Freedom (DoF)
immersion, where different and appropriate visual information is offered
to the user while exploiting the three rotational degrees of freedom and
the three translational degrees of freedom, very much in the same way as
in the real world. Since point clouds are essentially a set of points in
the 3D space with associated features, they are naturally suitable to
facilitate user interaction and offer a high level of immersion.
However, since providing realistic, interactive and immersive
experiences typically requires point clouds with a rather large number
of points, efficient coding is critical as recognized by standardization
groups such as MPEG and JPEG, which have been developing PC coding
standards in the context of the JPEG Pleno and MPEG-I projects. The
popularity of learning-based solutions for multimedia processing tasks
has largely increased in recent years due to its impressive performance.
In terms of coding, recent learning-based image coding solutions offer
very promising results, even outperforming state-of-the-art image
codecs. In this context, it is natural to extend the learning-based
coding approach to point clouds. This type of coding approach offers
three major benefits: i) a single efficient point cloud representation
for both humans and machines, i.e., not only for visualization but also
for computer vision tasks such as classification, detection and
recognition; ii) reduced complexity resources to perform image
processing and computer vision tasks (as already starting from
compressed domain features); and iii) using features extracted from the
original instead of lossy decoded images to perform computer vision
tasks with higher accuracy. In this context, this talk will address the
emerging developments in learning-based point cloud coding, including
the recent decision by JPEG to develop a learning-based coding standard
for point clouds and associated attributes, offering a single-stream,
compact compressed domain representation, supporting advanced flexible
data access functionalities.
*
Short bio*: Fernando Pereira is currently with the Department of
Electrical and Computers Engineering of Instituto Superior Técnico and
with Instituto de Telecomunicações, Lisbon, Portugal. He is Area Editor
of the Signal Processing: Image Communication Journal and Associate
Editor of the EURASIP Journal on Image and Video Processing, and is or
has been member of the Editorial Board of the Signal Processing
Magazine, Associate Editor of IEEE Transactions of Circuits and Systems
for Video Technology, IEEE Transactions on Image Processing, IEEE
Transactions on Multimedia, and IEEE Signal Processing Magazine. In
2013-2015, he was the Editor-in-Chief of the IEEE Journal of Selected
Topics in Signal Processing. He was an IEEE Distinguished Lecturer in
2005 and elected as an IEEE Fellow in 2008 for “contributions to
object-based digital video representation technologies and standards”.
He has been elected to serve on the Signal Processing Society Board of
Governors in the capacity of Member-at-Large for a 2012 and a 2014-2016
term. He was the SPS Vice-President for Conferences in 2018-2020. Since
2013, he is also a EURASIP Fellow for “contributions to digital video
representation technologies and standards”. He has been elected to serve
on the European Signal Processing Society Board of Directors for a
2015-2018 term. Since 2015, he is also an IET Fellow. He has been the
MPEG Requirements Subgroup Chair from 2002 to 2007 and since February
2016 he is the JPEG Requirements Subgroup Chair. He is/has been a member
of the Scientific and Program Committees of many international
conferences and workshops. He has been the General Chair of the Picture
Coding Symposium (PCS) in 2007, the Technical Program Co-Chair of the
Int. Conference on Image Processing (ICIP) in 2010 and 2016, the
Technical Program Chair of the International Workshop on Image Analysis
for Multimedia Interactive Services (WIAMIS) in 2008 and 2012, and the
General Chair of the International Conference on Quality of Multimedia
Experience (QoMEX) in 2016. He has contributed more than 300 papers in
international journals, conferences and workshops, and made several tens
of invited talks at conferences and workshops. His areas of interest are
visual data analysis, coding, description, adaptation, quality
assessment and advanced multimedia services. E-mail: fp at lx.it.pt
<mailto:fp at lx.it.pt> WWW: http://www.img.lx.it.pt/~fp/
<http://www.img.lx.it.pt/~fp/>
cid:image004.jpg at 01D6FBAE.3C1BBB60
---
*Angelina Wagner*
Journal Development Manager
Mathematics, Physical and Applied Sciences
Engineering
*Springer **Nature**
*One New York Plaza, Suite 4600, NY, NY 10004-1562
T + 1 (212) 451-8753
_angelina.wagner at springernature.com
<mailto:angelina.wagner at springernature.com>_
springernature.com/group
---
Springer Nature advances discovery by publishing robust and insightful
research, supporting the development of new areas of knowledge and
making ideas and information accessible around the world. We provide the
best possible service to the whole research community.
More information about the Cmul_merc
mailing list