Connectionists: 2nd CFP for ICIAR 2018 Special Session on "Big Visual Data: Challenges and Applications"

[Verónica Bolón]

[Apologies if you receive multiple copies of this CFP]

Call for papers: special session on "Big Visual Data: Challenges and Applications" at ICIAR 2018

15th International Conference on Image Analysis and Recognition (ICIAR 2018)
June 27-29, 2018 - Póvoa de Varzim (Portugal) - https://www.aimiconf.org/iciar18/ <https://www.aimiconf.org/iciar18/>  

Big Visual Data: Challenges and Applications

Organized by: Beatriz Remeseiro (University of Oviedo, Spain), Veronica Bolon-Canedo (University of A Coruña, Spain), Martin Kampel (Vienna University of Technology, Austria)

Visual data is massively stored and processed by different agents in the industrial world, whilst people have changed the way in which they acquire and transmit both images and videos as part of their daily routines. This unprecedented amount of visual data has created new research opportunities and technological challenges. In this context, the combination of computer vision and big data has become an active area of research finding success in many different domains.

This special session is focused on large scale computer vision algorithms and large scale machine learning techniques that address the problems derived from the increasing visual data availability. Additionally, it pursues to offer a meeting opportunity for academics and researchers to present their cutting-edge approaches to deal with large scale vision problems and identify unique challenges that need to be faced.

We invite authors to contribute with their recent advances derived from the availability of huge amounts of visual data, as well as review papers with the state-of-art techniques and the open challenges encountered in this field. In particular, topics of interest include, but are not limited to:

Novel algorithms able to understand big visual data and exploit noisy annotations. 
Scalable algorithms and efficient methods that can handle big visual data.
Visual models and feature representations of images and videos.
Deep learning algorithms applied to solve image analysis and recognition problems.
Benchmarks, datasets or data repositories with large volumes of visual data.
Applications and services: multimedia technologies, medical informatics, video surveillance, marking, etc.

SUBMISSION PROCEDURE:
Authors are invited to submit full papers showing original research contributions. The conference proceedings will be published in the Springer Lecture Notes in Computer Science series (Springer LNCS). Prospective authors should submit an electronic copy of their complete manuscript through the ICIAR 2018 submission system by January 22, 2018, selecting the special session topic in their submission. All submitted papers will be reviewed by at least two independent reviewers. For more information please go to https://www.aimiconf.org/iciar18 <https://www.aimiconf.org/iciar18>.
 
IMPORTANT DATES:
Paper submission deadline: January 22, 2018
Author notification: March 12, 2018
Camera-ready version: March 26, 2018
Paper registration: April 2, 2018
ICIAR conference: June 27-29, 2018

PROGRAM COMMITTEE:
Brais Cancela, INESC TEC, Portugal
Javier Traver, Universitat Jaume I, Spain
Mariella Dimiccoli, Universitat de Barcelona, Spain
Nicola Strisciuglio, University of Groningen, Netherlands
Noelia Barreira, Universidade da Coruña, Spain
Peter Roth, Graz University of Technology, Austria
Robert Sablatnig, Vienna University of Technology, Austria




Verónica Bolón Canedo, PhD
Grupo LIDIA
Departamento de Computación
Facultad de Informática
Universidade da Coruña

Campus de Elviña, s/n
15071 - A Coruña, Spain

Phone: +34 981 167150 Ext. 6007
Fax: +34 981 167160
e-mail: veronica.bolon at udc.es <mailto:veronica.bolon at udc.es>
http://www.lidiagroup.org <http://www.lidiagroup.org/>



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