@inproceedings{8d134a95524b4440a2acbba6e4a6c63e,
title = "Locally embedded linear subspaces for efficient video indexing and retrieval",
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.",
keywords = "Component analysis, High dimensional indexing, Manifold learning, Video retrieval",
author = "Zhu Li and Li Gao and Katsaggelos, {Aggelos K}",
year = "2006",
month = dec,
day = "1",
doi = "10.1109/ICME.2006.262893",
language = "English (US)",
isbn = "1424403677",
series = "2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings",
pages = "1765--1768",
booktitle = "2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings",
note = "2006 IEEE International Conference on Multimedia and Expo, ICME 2006 ; Conference date: 09-07-2006 Through 12-07-2006",
}