An integrated and interactive video retrieval framework with hierarchical learning models and semantic clustering strategy

Na Zhao, Shu Ching Chen, Mei Ling Shyu, Stuart H. Rubin

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

4 Scopus citations

Abstract

In this research, we propose an integrated and interactive framework to manage and retrieve large scale video archives. The video data are modeled by a hierarchical learning mechanism called HMMM (Hierarchical Markov Model Mediator) and indexed by an innovative semantic video database clustering strategy. The cumulated user feedbacks are reused to update the affinity relationships of the video objects as well as their initial state probabilities. Correspondingly, both the high level semantics and user perceptions are employed in the video clustering strategy. The clustered video database is capable of providing appealing multimedia experience to the users because the modeled multimedia database system can learn the user's preferences and interests interactively.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006
Pages438-443
Number of pages6
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Information Reuse and Integration, IRI-2006 - Waikoloa Village, HI, United States
Duration: Sep 16 2006Sep 18 2006

Publication series

NameProceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006

Other

Other2006 IEEE International Conference on Information Reuse and Integration, IRI-2006
CountryUnited States
CityWaikoloa Village, HI
Period9/16/069/18/06

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Software

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    Zhao, N., Chen, S. C., Shyu, M. L., & Rubin, S. H. (2006). An integrated and interactive video retrieval framework with hierarchical learning models and semantic clustering strategy. In Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006 (pp. 438-443). [4018531] (Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006). https://doi.org/10.1109/IRI.2006.252454