Context-a ware media retrieval

Ankur Mani, Hari Sundaram

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


In this paper we propose a representation framework for dynamic multi-sensory knowledge and user context, and its application in media retrieval. We provide a definition of context, the relationship between context and knowledge and the importance of communication both as a means for the building of context as well as the end achieved by the context. We then propose a model of user context and demonstrate its application in a photo retrieval application. Our experiments demonstrate the advantages of the context-aware media retrieval over other media retrieval approaches especially relevance feedback.

Original languageEnglish (US)
Title of host publicationImage and Video Retrieval - 5th International Conference, CIVR 2006, Proceedings
Number of pages4
ISBN (Print)3540360182, 9783540360186
StatePublished - 2006
Externally publishedYes
Event5th International Conference on Image and Video Retrieval, CIVR 2006 - Tempe, AZ, United States
Duration: Jul 13 2006Jul 15 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4071 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other5th International Conference on Image and Video Retrieval, CIVR 2006
Country/TerritoryUnited States
CityTempe, AZ


  • Context modeling
  • Knowledge representation
  • Media retrieval

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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