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Title: Multiple video trajectories representation using double-layer isometric feature mapping
Authors: Liu, Y
Liu, Y 
Chan, KCC 
Keywords: DLIso
Dimensionality reduction
Video trajectory
Issue Date: 2008
Publisher: IEEE
Source: 2008 IEEE International Conference on Multimedia and Expo, June 23 2008-April 26 2008, Hannover, p. 129-132 How to cite?
Abstract: This paper proposes a novel non-linear dimensionality reduction algorithm, named double-layer isometric feature mapping (DLIso), which generates the trajectories for the video sequence containing different kinds of video clips. First, a nearest neighbor based clustering algorithm is utilized to partition the video sequence into a set of data blocks. Second, intra-cluster graphs are constructed based on the individual character of each data block to build the basic layer for DLIso. Third, the inter-cluster graph is constructed by analyzing the interrelation among these isolated data blocks to build the hyper-layer. Finally, all data points are mapped onto a unique low-dimensional feature space while preserving the corresponding relations in the double layers. Experiments on synthetic datasets as well as the real video sequences demonstrate that the low-dimensional trajectories generated by the proposed method correctly represent the semantic information of the data.
ISBN: 978-1-4244-2570-9
978-1-4244-2571-6 (E-ISBN)
DOI: 10.1109/ICME.2008.4607388
Appears in Collections:Conference Paper

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