Special issue on Evolutionary Computer Vision and Image Analysis Call for Papers

ELCVIA – Electronic Letters on Computer Vision and Image Analysis
Call for Papers

An indexed (SJR=0.16), free access and free publication journal

elcvia@cvc.uab.cat
Special issue on Evolutionary Computer Vision and Image Analysis

Evolutionary algorithms (EAs), as well as other bio-inspired
population-based algorithms, have been shown to be tools which can be
used effectively to develop software or hardware systems for computer
vision (CV) and image analysis (IA), for applications in complex
domains of high industrial and social relevance. Because of this,
several conferences include tracks explicitly dedicated to those or to
strictly related topics, which are creating a common ground for
researchers in evolutionary computation and in computer vision. More
and more CV and IA problems tend to be reformulated as combinatorial
or continuous optimization problems, usually characterized by complex,
highly multimodal search spaces, which often make it hard, when not
impossible or unreliable, to use more traditional local-search
techniques, and require more “explorative” approaches such as
EAs and other metaheuristics.

We are soliciting papers on the applications of EAs and other
bio-inspired and/or population-based algorithms (Particle Swarm
Optimization, Ant Colony Optimization, Scatter Search, etc.) to CV and
IA, to be published in a special issue of Electronic Letters on
Computer Vision and Image Analysis. Papers appropriate to this issue
will deal with theoretical and experimental evaluation of computer
vision algorithms and systems which rely on the use of genetic,
evolutionary, and more generally bio-inspired algorithms, with topics
of interest which will include, but will not be limited to:

    applications to real-world CV and IA problems

    evolvable CV hardware

    hybrid approaches to CV including evolutionary/bio-inspired
    components

    comparisons between different evolutionary/bio-inspired techniques
    and between evolutionary and non-evolutionary techniques in CV and
    IA applications

    real-time applications of EAs to CV and IA running on GPUs or on
    other multi-core/parallel architectures

Prospective authors are invited to submit original work on these
topics to ELCVIA (http://elcvia.cvc.uab.es/login) according to the
instructions for authors
(http://elcvia.cvc.uab.es/about/submissions#authorGuidelines) by May
15, 2015.
IMPORTANT DATES
Submission deadline: May 15, 2015
First review: July 20, 2015
Revisions due: September 30, 2015
Second review and final decision: December 10, 2015
Final versions due: February 1, 2016
 
Regarding ELCVIA:

ELCVIA is an international electronic journal on the theory and
applications of Computer Vision and Image Analysis. In order to
publish high quality papers, all received articles are thoroughly peer
reviewed by a board of internationally recognized experts. ELCVIA is
indexed, inter alia, by Scopus and Google Scholar and it is ranked in
the SCImago Journal & Country Rank (SJR = 0.16).

ELCVIA has the following aims:

    To be a dynamic and fast means of communication.
    To take advantage of Internet multimedia capacity.
    To be a quality publication with peer-based revision.
    To have a free access to full-text papers.

The Journal includes internationally recognized experts in Computer
Vision and Image Analysis in their Boards.

ELCVIA is an electronic journal without paper restrictions, and allows
authors to use all the Internet capabilities to publish their
scientific research. The main services ELCVIA provides are:

    Attachment of multimedia files with the articles: videos, images,
    dynamic presentations, etc.
    Flexible size of articles and surveys.
    Faster ways to publish ideas without decreasing quality. Papers
    are published just at the time of acceptance.

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ELCVIA “ Electronic Letters on Computer Vision and Image Analysis
Call For Papers

 free access and free publication journal

http://elcvia.cvc.uab.es/