Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60472
Title: An efficient video indexing and retrieval algorithm using the luminance field trajectory modeling
Authors: Gao, LI
Li, Z
Katsaggelos, A
Keywords: Video retrieval
Modeling
Subspace learning
Video indexing
Issue Date: 2009
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on circuits and systems for video technology, 2009, v. 19, no. 10, p. 1566-1570 How to cite?
Journal: IEEE transactions on circuits and systems for video technology 
Abstract: With the phenomenal growth of the online and personal video repositories, an efficient and robust example-based video search solution is required to support applications like query by clip, query by capture, and repeated clip detection. In this letter, video sequences are represented as temporal trajectories via scaling and lower dimensional representation of the video frame luminance field, and a video trajectory indexing and matching scheme is developed to support video clip search. Simulation results demonstrate that the proposed approach achieves excellent performance in both response speed and precision-recall accuracy.
URI: http://hdl.handle.net/10397/60472
ISSN: 1051-8215
EISSN: 1558-2205
DOI: 10.1109/TCSVT.2009.2026813
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