Tutorial

Sound to image visualizations and image to sound transforms
Doctor
Dionysios Politis
Multimedia Lab,
Department of Informatics,
Aristotle University of Thessaloniki,
Thessaloniki, GR-541 26
Greece
E-mail: dpolitis@csd.auth.gr
website: www.csd.auth.gr/~dpolitis
Abstract: Numerous algorithms have been proposed for image to sound and sound to image
transforms. Based on heuristic assignments of sound frequencies to RGB
values, they perform effective mappings between musical entities (notes) and
values for optical wavelengths. The new element that has been recently
exploited is the chromaticism of the sound domain. When taken into account,
a colouring of the performed music may take place. On the other hand,
segments that have acoustic polymorphism can be assigned to colours and
archetypal image to sound transforms may take place. In both approaches, the
visualization of music is exhibited according to the melodic structure and
not only according to the temporal characteristics (i.e. rhythm).
Brief Biography of the speaker:
Dr. Dionysios Politis earned his Ph.D in Computer Science, MSc in Radio
Engineering and Telecommunications, and B.Sc. in Physics from the Aristotle
University of Thessaloniki. He is also a holder of a Graduate Diploma in
Computing Studies from RMIT as a scholar of the Australian Government.
Apart from his academic career in the Department of Informatics of the
Aristotle University of Thessaloniki, he had been a scientific collaborator
of the Centre of International and European Economic Law in Thessaloniki and
participated as EU expert in Computer Law in various projects aiming to
enhance the pre-accession route of Bulgaria, FYROM, Romania and Cyprus.
His research focuses on Multimedia Applications, Computer Music and
e-Learning, with more than 50 publications in these areas. He has authored,
edited and co-edited six books.