Model-driven collaboration and information integration for enhancing video semantic concept detection

Tao Meng, Mei Ling Shyu

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

8 Scopus citations

Abstract

With the fast development and popularity of digital cameras, smart phones, and video surveillance devices, the amount of video data increases dramatically. Accordingly, automatically mining and annotating high-level concepts for video indexing and management become imperative research tasks in both multimedia research and data mining research. The mainstream content-based semantic concept mining approaches suffer from the notorious semantic gap problem, which is the difficulty of associating the low-level features to high-level concepts directly. Recently, the utilization of concept-concept association has been proven to be effective to address the semantic gap problem. In this paper, a framework based on multi-model collaboration and information integration is proposed to integrate the association among concepts to enhance the high-level concept detection by reusing the information outputs from the primary concept detectors. The experimental results show that the proposed framework outperforms the other approaches in the comparison and therefore is promising.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012
Pages144-151
Number of pages8
DOIs
StatePublished - Nov 8 2012
Event2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012 - Las Vegas, NV, United States
Duration: Aug 8 2012Aug 10 2012

Publication series

NameProceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012

Other

Other2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012
Country/TerritoryUnited States
CityLas Vegas, NV
Period8/8/128/10/12

Keywords

  • Information Integration
  • Multi-Model Collaboration
  • Re-ranking
  • Video Concept Detection

ASJC Scopus subject areas

  • Information Systems

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