A video retrieval algorithm using random projections

Li Gao*, Zhu Li, Aggelos K Katsaggelos

*Corresponding author for this work

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

4 Scopus citations

Abstract

In this paper, we propose a fast and accurate video retrieval algorithm using random projections, an indexing structure and parallel computing. The video sequences are represented by low dimensional temporal trajectories in a set of low dimensional spaces through scaling and random projections. A kd-tree structure is used for efficient data access. We also develop an efficient retrieval algorithm. Simulation results demonstrate that the proposed algorithm is very fast and accurate in retrieval performance.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Pages797-800
Number of pages4
ISBN (Print)9781424456543
DOIs
StatePublished - Jan 1 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: Nov 7 2009Nov 10 2009

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2009 IEEE International Conference on Image Processing, ICIP 2009
CountryEgypt
CityCairo
Period11/7/0911/10/09

Keywords

  • Compressive sensing
  • Kd-tree
  • Random projections
  • Video indexing and retrieval

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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