Self-adaptive semantic schema mechanism for multimedia databases

Jun Yang, Qing Li, Yueting Zhuang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


In the context of multimedia retrieval, the goal of accuracy is to a certain extent contradictory with that of efficiency. The former relies on exploiting sophisticated features, whereas the latter favors using simple features with reduced dimensionality. As an endeavor to strike the balance between these two goals, this paper presents a self-adaptive semantic schema mechanism (SSM) for multimedia databases. The SSM is implemented based on an object-oriented data model, with classes being organized into a semantic hierarchy. As its most distinguishable feature, when the conditions of certain ECA-rules are satisfied, SSM supports adaptive evolution of a schema in the form of expansion with new classes and/or compaction by removing inefficient ones. This self-adaptive evolution strategy allows a schema to optimize for the requirements of each specific application, thereby achieving a dynamic, application-specific balance between accuracy and efficiency. A prototype system for multimedia retrieval, 2M2Net, has been built based on this mechanism and validated for its feasibility.

Original languageEnglish
Title of host publicationElectronic Imaging and Multimedia Technology III
EditorsLiWei Zhou, Chung-Sheng Li, Yoshiji Suzuki
Number of pages11
ISBN (Electronic)9780819447142
Publication statusPublished - 30 Aug 2002
Externally publishedYes
EventElectronic Imaging and Multimedia Technology III 2002 - Shanghai, China
Duration: 14 Oct 200218 Oct 2002

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceElectronic Imaging and Multimedia Technology III 2002


  • ECA-rules
  • Multimedia database
  • schema evolution strategy
  • self-adaptive
  • semantic schema mechanism

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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