@inproceedings{Li2009,
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. {\textcopyright}2009 IEEE.},
author = {Gao, Li and Li, Zhu and Katsaggelos, Aggelos K.},
booktitle = {2009 16th IEEE International Conference on Image Processing (ICIP)},
doi = {10.1109/ICIP.2009.5414223},
isbn = {978-1-4244-5653-6},
issn = {15224880},
keywords = {Compressive sensing,Kd-tree,Random projections,Video indexing and retrieval},
month = {nov},
pages = {797--800},
publisher = {IEEE},
title = {{A video retrieval algorithm using random projections}},
url = {http://ieeexplore.ieee.org/document/5414223/},
year = {2009}
}

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