Locally embedded linear subspaces for efficient video indexing and retrieval

Zhu Li*, Li Gao, Aggelos K Katsaggelos

*Corresponding author for this work

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

15 Scopus citations

Abstract

Efficient indexing is a key in content-based video retrieval solutions. In this paper we represent video sequences as traces via scaling and linear transformation of the frame luminance field. Then an appropriate lower dimensional subspace is identified for video trace indexing. We also develop a trace geometry matching algorithm for retrieval based on average projection distance with a locally embedded distance metric. Simulation results demonstrated the high accuracy and very fast retrieval speed for the proposed solution.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Pages1765-1768
Number of pages4
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Toronto, ON, Canada
Duration: Jul 9 2006Jul 12 2006

Publication series

Name2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Volume2006

Other

Other2006 IEEE International Conference on Multimedia and Expo, ICME 2006
CountryCanada
CityToronto, ON
Period7/9/067/12/06

Keywords

  • Component analysis
  • High dimensional indexing
  • Manifold learning
  • Video retrieval

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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