Fast video shot retrieval with luminance field trace indexing and geometry matching

Li Gao; Zhu Li; Aggelos K Katsaggelos

doi:10.1109/ICIP.2006.312566

Fast video shot retrieval with luminance field trace indexing and geometry matching

Li Gao^*, Zhu Li, Aggelos K Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

Abstract

Efficient indexing is a key in content-based video retrieval solutions. In this paper we represent video sequences as traces in an appropriate low dimensional space via luminance field scaling and PCA projection, and develop an efficient indexing scheme and trace geometry matching algorithms for fast and robust video retrieval. Simulation results demonstrate that the proposed solution is very fast and accurate in retrieval performance.

Original language	English (US)
Title of host publication	2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages	1497-1500
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2006.312566
State	Published - Dec 1 2006
Event	2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States Duration: Oct 8 2006 → Oct 11 2006

Publication series

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

Other

Other	2006 IEEE International Conference on Image Processing, ICIP 2006
Country	United States
City	Atlanta, GA
Period	10/8/06 → 10/11/06

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

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title = "Fast video shot retrieval with luminance field trace indexing and geometry matching",

abstract = "Efficient indexing is a key in content-based video retrieval solutions. In this paper we represent video sequences as traces in an appropriate low dimensional space via luminance field scaling and PCA projection, and develop an efficient indexing scheme and trace geometry matching algorithms for fast and robust video retrieval. Simulation results demonstrate that the proposed solution is very fast and accurate in retrieval performance.",

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Gao, L, Li, Z & Katsaggelos, AK 2006, Fast video shot retrieval with luminance field trace indexing and geometry matching. in 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings., 4106825, Proceedings - International Conference on Image Processing, ICIP, pp. 1497-1500, 2006 IEEE International Conference on Image Processing, ICIP 2006, Atlanta, GA, United States, 10/8/06. https://doi.org/10.1109/ICIP.2006.312566

Fast video shot retrieval with luminance field trace indexing and geometry matching. / Gao, Li; Li, Zhu; Katsaggelos, Aggelos K.

2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings. 2006. p. 1497-1500 4106825 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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