ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:TA-P5.10
Session:Low-Level Indexing and Retrieval of Images
Time:Tuesday, October 10, 09:40 - 12:20
Presentation: Poster
Topic: Image & Video Storage and Retrieval: Low-level indexing and retrieval of images
Title: FAST VIDEO SHOT RETRIEVAL WITH LUMINANCE FIELD TRACE INDEXING AND GEOMETRY MATCHING
Authors: Li Gao; Motorola Mobile Devices 
 Zhu Li; Motorola Labs 
 Aggelos K. Katsaggelos; Northwestern University 
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.