Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25179
Title: A video retrieval algorithm using random projections
Authors: Gao, LI
Li, Z
Katsaggelos, A
Keywords: Video indexing and retrieval
Compressive sensing
Kd-tree
Random projections
Issue Date: 2009
Publisher: IEEE
Source: 2009 16th IEEE International Conference on Image Processing (ICIP), 7-10 November 2009, Cairo, p. 797-800 How to cite?
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.
URI: http://hdl.handle.net/10397/25179
ISBN: 978-1-4244-5653-6
978-1-4244-5655-0 (E-ISBN)
ISSN: 1522-4880
DOI: 10.1109/ICIP.2009.5414223
Appears in Collections:Conference Paper

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