DICTA 2019 - Call for Submissions

Call for Papers

The International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the flagship Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS). DICTA 2019 is technically cosponsored by the Institute of Electrical and Electronics Engineers (IEEE) and the International Association for Pattern Recognition (IAPR). All papers presented at the conference will be included in IEEE Xplore digital library.

Topics include, but are not limited to, the following:

  • Machine learning
  • Computer vision
  • Deep learning
  • Image coding and processing
  • Shape and texture analysis
  • Biometrics, face and gesture and action recognition
  • Surveillance, Defence and industrial applications
  • Remote sensing and spectral imaging
  • Astronomical image analysis
  • Statistical and structural pattern recognition
  • Human-computer interaction
  • Biomedical and e-health applications
  • Content-based image retrieval and image databases
Paper Submission Deadline:   1stJuly 2019 (Mon) 23:59 Pacific Time   15thJuly 2019 (Mon) 23:59 Pacific Time   21stJuly 2019 (Sun) 23:59 Pacific Time

Authors are invited to submit papers of up to 8 pages according to the guidelines on the conference website. Each paper will go through double-blinded peer review. It is a condition of publication that each paper is presented at the conference. Each accepted paper must be registered by an author before the early registration deadline to avoid withdrawal from the conference proceedings and technical programme.

Authors of the top ranked papers will be invited to submit extended versions to a Special Issue on "Best of DICTA 2019" in the Neural Computing and Applications journal (Impact Factor 4.664) https://link.springer.com/journal/521. We are pleased to announce that this Special Issue has already been approved by the Editor-in-Chief of the Neural Computing and Applications journal.