Joinsee: A real-time and collaborative hyper-media system for participatory performances in the Opera of Meaning

Shuichi Kurabayashi, Shlomo Dubnov, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a real-time and collaborative hyper-media system that introduces database-enhanced collaborative models and multimedia processing models for creating improvised performances in the Opera of Meaning. The system provides a main story media and a corresponding shared canvas that is shared among Internet-wide user communities. Our shared canvas mechanisms make it possible to describe and share users' ideas and impressions about the main story media. The key technology of this system is a timeline-dependent and script-driven live performance engine, which provides users with ECA rules to express and characterize the users' ideas and impressions by using existing multimedia data such as video files and image files. The system provides directors and participants of improvised performance with a set of database operators for controlling and contributing to the performance. The system motivates users to contribute to the performance by exploiting users' own media libraries and existing web services. We have implemented the prototype system which is applicable to the existing video and image files on the Web.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXI
PublisherIOS Press
Pages258-262
Number of pages5
ISBN (Print)9781607500896
DOIs
Publication statusPublished - 2010 Jan 1

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume206
ISSN (Print)0922-6389

Keywords

  • Active Database Systems
  • Collaborative System
  • Multidatabase Systems

ASJC Scopus subject areas

  • Artificial Intelligence

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    Kurabayashi, S., Dubnov, S., & Kiyoki, Y. (2010). Joinsee: A real-time and collaborative hyper-media system for participatory performances in the Opera of Meaning. In Information Modelling and Knowledge Bases XXI (pp. 258-262). (Frontiers in Artificial Intelligence and Applications; Vol. 206). IOS Press. https://doi.org/10.3233/978-1-60750-477-1-258