Collective evolutionary indexing of multimedia objects

Clement H C LEUNG, W. S. Chan, Jiming LIU

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

1 Citation (Scopus)


The evolution of multimedia technology and the Internet boost the multimedia sharing and searching activities among social networks. The requirements of semantic multimedia retrieval goes far beyond those provided by the text-based search engines technology. Here, we present an collaborative approach that enables the semantic search of the multimedia objects by the collective discovery and meaningful indexing of their semantic concepts. Through the successive use of our model, semantic concepts can be discovered and incorporated by analyzing the users' search queries, relevance feedback and selection patterns. Eventually, through the growth and evolution of the index hierarchy, the semantic index can be dynamically constructed, validated, and naturally built-up towards the expectation of the social network.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2009 - International Conference, Proceedings
Number of pages12
EditionPART 1
Publication statusPublished - 2009
EventInternational Conference on Computational Science and Its Applications, ICCSA 2009 - Seoul, Korea, Republic of
Duration: 29 Jun 20092 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5592 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Computational Science and Its Applications, ICCSA 2009
Country/TerritoryKorea, Republic of

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

User-Defined Keywords

  • Collaborative Indexing
  • Multimedia Retrieval
  • Social Networks


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