An architectural paradigm for collaborative semantic indexing of multimedia data objects

Clement H C LEUNG, Jiming LIU, Alice W.S. Chan, Alfredo Milani

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

5 Citations (Scopus)


A challenging problem facing the semantic search of multimedia data objects is the ability to index them. Here, we present an architectural paradigm for collaborative semantic indexing, which makes use of a dynamic evolutionary approach. By capturing, analyzing and interpreting user response and query behavior, the patterns of searching and finding multimedia data objects may be established. Within the present architectural paradigm, the semantic index may be dynamically constructed, validated, and built-up, where the performance of the system will increase as time progresses. Our system also incorporates a high degree of robustness and fault-tolerance whereby inappropriate index terms will be gradually eliminated from the index, while appropriate ones will be reinforced. We also incorporate genetic variations into the design to allow objects which may otherwise be hidden to be discovered. Experimental results indicate that the present approach is able to confer significant performance benefits in the semantic searching and discovery of a wide variety of multimedia data objects.

Original languageEnglish
Title of host publicationVisual Information Systems
Subtitle of host publicationWeb-Based Visual Information Search and Management - 10th International Conference, VISUAL 2008, Proceedings
Number of pages11
Publication statusPublished - 2008
Event10th International Conference on Visual Information Systems, VISUAL 2008 - Salerno, Italy
Duration: 11 Sept 200812 Sept 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5188 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference10th International Conference on Visual Information Systems, VISUAL 2008

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

User-Defined Keywords

  • Collaborative indexing
  • Concept-based search
  • Genetic algorithms
  • Index set
  • Multimedia data objects
  • Ranking
  • Relevance feedback
  • Semantics retrieval


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