The 16th International Conference on Machine Vision Applications Call for Papers

                    C A L L   F O R   P A P E R S

   The 16th International Conference on Machine Vision Applications
                            May 27 - 31, 2019
                             (Tokyo, Japan)

The sixteenth International Conference on Machine Vision Applications
will be held at National Olympics Memorial Youth Center, Tokyo, Japan
from May 27th through 31st, 2019. The conference is sponsored by the 
MVA Organization, co-organized by IEICE PRMU and IPSJ SIG-CVIM, and 
endorsed by IAPR.
The aim of this conference is to bring together researchers and
practitioners from both academia and industry, and to stimulate the
exchange of knowledge through intensive discussions on the cutting-edge
research topics.

Topics-of-interest include, but are not limited to, sensing, algorithms,
and applications (Factory automation and robotics, Intelligent Transport
Systems, Human computer interaction, biomedical, multimedia, and life)
concerning the image media.

Papers should be prepared in the designated format in four pages, and
submitted electronically by the deadline.

Accepted papers will be presented in English either as an oral
presentation or a poster presentation.

Selected papers will be published in IPSJ Transactions on Computer
Vision and Applications (Springer Open) in May 2019. After the conference,
we plan to publish an MVA special section in an international journal.
Authors of selected papers are invited to submit their papers to this
special section.

Note that at least one author of an accepted paper must present their
work at the conference.

Details can be found in the following Web site:

   - Submission Deadline:              December 7, 2018
   - Notification of Acceptance:       February 22, 2019
   - Camera-Ready Manuscript Deadline: March 22, 2019

   MVA2019 Organizing Committee (

   General Chairs
     - Ryuzo Okada (Toshiba)
     - Norimichi Ukita (Toyota Technological Institute)
   Program Chairs
     - Atsuto Maki (KTH Royal Institute of Technology)
     - Paolo Favaro (University of Bern)