JiscMail Logo
Email discussion lists for the UK Education and Research communities

Help for MMKM Archives


MMKM Archives

MMKM Archives


MMKM@JISCMAIL.AC.UK


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Proportional Font

LISTSERV Archives

LISTSERV Archives

MMKM Home

MMKM Home

MMKM  January 2019

MMKM January 2019

Options

Subscribe or Unsubscribe

Subscribe or Unsubscribe

Log In

Log In

Get Password

Get Password

Subject:

2nd Call-for-Papers: SI on Looking At People: Analyzing Human Behavior from Social Media Data @ International Journal of Computer Vision

From:

Bogdan Ionescu <[log in to unmask]>

Reply-To:

Bogdan Ionescu <[log in to unmask]>

Date:

Tue, 8 Jan 2019 00:53:12 +0200

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (122 lines)

[Apologies for multiple postings]

Special Issue on "Looking At People: Analyzing Human Behavior from
Social Media Data"
International Journal of Computer Vision
https://www.springer.com/computer?SGWID=0-146-6-1390546-0


*** CALL FOR PAPERS ***
Although great advances have been obtained in the "Looking at People"
field, it is only recently that attention has focused on problems
connected to more complex and subconscious behavior. For instance,
personality and social behavior are only starting to be explored from
the computer vision and multimedia information processing
perspectives. This is often due to a lack of data and benchmarks to
evaluate these type of tasks.

Nevertheless, the availability of massive amounts of multimodal
information together with the dominance of social networks as a
fundamental channel where users interact, have attracted the interest
of the community in this direction of research. Tools for effectively
analyzing these sort of behaviors have a major impact into everyone's
life, with applications in health (e.g., support for mental
disorders), security (e.g., forensics, preventive applications), human
computer/machine/robot interaction (e.g., affective/interactive
interfaces) and even entertainment (e.g., user-tailored systems).

This special issue focuses in all aspects of computer vision and
pattern recognition devoted to the automatic analysis of human
behavior in social media from visual and multimodal information. The
focus is on the analysis of human behavior that is not visually
obvious, i.e., unconscious behavior and situations in which the sole
visual analysis is insufficient to provide a satisfactory solution.
Submissions in other aspects of looking at people may be considered as
well.

Prospective articles should make fundamental or practical
contributions to the field. Topics of interest include (but are not
limited to):
- Human behavior analysis from visual and multimodal information, with
emphasis on unconscious behaviors, including, but not limited to:
personality analysis, deception detection, social behavior analysis
- All aspects of human behavior analysis in the context of social
networks using multimodal information, including, but not limited to:
gesture/action, emotion recognition, personality analysis and
human-computer interaction
- Personality analysis and deception detection from multimodal
information, including textual, visual, and audible information
- Information retrieval, categorization and clustering of social
networks data, including images, text, and videos for the analysis of
human behavior
- Analysis of human intention from social networks data involving
multimodal information
- New tasks, data sets and benchmarks on human behavior analysis from
multimodal information
- Multimodal machine learning, deep learning, active learning, and
transfer learning for human behavior analysis in social media
- Multimodal zero-shot learning, and unsupervised learning for the
analysis of unconscious human behaviors
- Crowdsourcing, community contributions, and social multimedia
- Information fusion for the analysis of human behavior in the context
of social networks
- Large-scale and web-scale multimodal analysis of social media
- Explainability and fairness in multimodal AI systems for human
behavior analysis
- Applications of unconscious behavior analysis methods, e.g.,
medicine, sports, commerce, lifelogs, travel, security, environment.


*** Submission guidelines ***
All the papers should be full journal length submissions and follow
the guidelines set out by International Journal of Computer Vision:
https://link.springer.com/journal/11263

Manuscripts should be submitted online at:
https://www.editorialmanager.com/visi/
choosing "S.I. : Analyzing Human Behavior from Social Media Data" as
article type.

When uploading your paper, please ensure that your manuscript is
marked as being for this special issue. Information about the
manuscript (title, full list of authors, corresponding author's
contact, abstract, and keywords) should be also sent to the
corresponding editors (see information below).

Submitted papers should present original, unpublished work, relevant
to at least one of the topics of the special issue. All submitted
papers will be evaluated on the basis of relevance, significance of
contribution, technical quality, scholarship, and quality of
presentation, by at least three independent reviewers. It is the
policy of the journal that no submission, or substantially overlapping
submission, be published or be under review at another journal or
conference at any time during the review process.


*** Important dates ***
Manuscripts Due: 15 March 2019
Publication: 1st quarter of 2020


*** Guest editors ***
Hugo Jair Escalante ([log in to unmask]), INAOE, Mexico & ChaLearn, USA
Bogdan Ionescu, University Politehnica of Bucharest, Romania
Esaú Villatoro, UAM-C, Mexico
Gabriela Ramírez, UAM-C, Mexico
Sergio Escalera, Computer Vision Center (UAB) & University of Barcelona, Spain
Martha Larson, Radboud University & Delft University of Technology, Netherlands
Henning Müller, University of Applied Sciences Western Switzerland
(HES-SO), Switzerland
Isabelle Guyon, ChaLearn, Berkeley, California, USA


On behalf of the guest editors,

Prof. Bogdan IONESCU
ETTI - University Politehnica of Bucharest
http://campus.pub.ro/lab7/bionescu/

########################################################################

To unsubscribe from the MMKM list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=MMKM&A=1

Top of Message | Previous Page | Permalink

JiscMail Tools


RSS Feeds and Sharing


Advanced Options


Archives

January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
January 2014
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
August 2008
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
October 2007
September 2007
July 2007
June 2007
May 2007
April 2007
March 2007
October 2006
June 2006
May 2006


JiscMail is a Jisc service.

View our service policies at https://www.jiscmail.ac.uk/policyandsecurity/ and Jisc's privacy policy at https://www.jisc.ac.uk/website/privacy-notice

Secured by F-Secure Anti-Virus CataList Email List Search Powered by the LISTSERV Email List Manager