Locally embedded linear subspaces for efficient video indexing and retrieval

  • Li Z
  • Gao L
  • Katsaggelos A
  • 12


    Mendeley users who have this article in their library.
  • 14


    Citations of this article.


Efficient Indexing is a key us 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

Author-supplied keywords

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

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text


  • Zhu Li

  • Li Gao

  • Aggelos K. Katsaggelos

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free