New Zealand Journal of Agricultural Research abstracts

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An efficient method for processing a large-scale motion database in agriculture informatisation

Jian Xiang

ZheJiang University of Science and Technology
310023, Hangzhou
PR China
freexiang@gmail.com

Abstract In this paper, a novel approach is presented for motion information retrieval based on a reference index that reduces the number of costly distance computations for similar measures. Due to high dimensionality of motion’s features, the nonlinear Principal Component Analysis (PCA) dimension reduction is used. An algorithmic framework is used to approximate the optimal mapping function by a Radial Basis Function (RBF) for handling new data. Then, a reference index is built based on selecting a small set of representative motion clips in the database. This way we can get a candidate set by abandoning most unrelated motion clips to reduce the number of costly similarity measures significantly. Experimental results show that our methods are effective for data processing in large-scale databases of agriculture informatisation.

Keywords    agriculture informatisation; motion; nonlinear PCA; RBF; reference index

A07064; Online publication date 4 December 2007; Received and accepted 10 August 2007

New Zealand Journal of Agricultural Research, 2007, Vol. 50: 573–581
0028–8233/07/5005–0573 © The Royal Society of New Zealand 2007

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