PROCESSING, ANALYSIS, SYNTHESIS AND CONTEXT-BASED RETRIEVAL FOR MULTIMEDIA MUSIC-RELATED DATA BASES OF TRADITIONAL MUSIC AND DANCING RECORDINGS

Abstract: 

In the era of information and knowledge society we experience a fast convergence between Arts and Technology. Information technologies offer new possibilities for the study and critical analysis of artistic works as well as for developing search engines and tools. Such applications have both strong research interest and commercial value.

This proposal focuses on the development of new methods and software tools for the study, preservation, diffusion and search of music-related information in the context of the Greek traditional music including the Byzantine Chanting. The development of such methods and tools must respect and evolve around the specific nature of these music traditions, namely their microtonic characteristic and the complex rhythms on which they are built. Methods and software tools that have been developed in the context of the well-tempered western music are inefficient and not appropriate for such music traditions. Preservation of œlocal cultures has become an issue of paramount importance these days, where the influential power of the "œdesigned cultural products", distributed via the internet and television, can smooth out diversity and lead to oblivion old, yet rich, cultures that grew naturally within and for the societies.

In this proposal, novel methods and software tools will be developed for:

  • digital restoration of music archival content,
  • study, analysis, modeling and extraction of music-description features,
  • automatic content-based recognition and retrieval of music and dancing content from audio and video recordings and
  • computer-based synthesis of visual dancing content, with a final goal of their integration in an education-related software.

Workpackages:

  1. Project Management,
  2. Restoration of archival musical content,
  3. Analysis and information retrieval in music recordings,
  4. Analysis for content-based retrieval of Byzantine chanting,
  5. Analysis, content-based retrieval of dancing recordings and synthesis of visual dancing.

Project info

Acronym:
ERASITECHNIS
Scientific Coordinator:
Theodoridis Sergios
Research Team 2 Leader:
Kouroupetroglou Georgios
Research Team 3 Leader:
Kotropoulos Constantine
Research Team 4 Leader:
Lourakis Manolis
Research Team 5 Leader:
Mourjopoulos John

Stats

I.D.:
1315
Mis:
375435
Budget:
600 000.00

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