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Motion Segmentation and Retrieval for 3D Video Based on Modified Shape Distribution

EURASIP Journal on Advances in Signal Processing20062007:059535

Received: 31 January 2006

Accepted: 14 October 2006

Published: 14 December 2006


A similar motion search and retrieval system for 3D video are presented based on a modified shape distribution algorithm. 3D video is a sequence of 3D models made for a real-world object. In the present work, three fundamental functions for efficient retrieval have been developed: feature extraction, motion segmentation, and similarity evaluation. Stable-shape feature representation of 3D models has been realized by a modified shape distribution algorithm. Motion segmentation has been conducted by analyzing the degree of motion using the extracted feature vectors. Then, similar motion retrieval has been achieved employing the dynamic programming algorithm in the feature vector space. The experimental results using 3D video sequences of dances have demonstrated very promising results for motion segmentation and retrieval.


Feature VectorFeature ExtractionDynamic ProgrammingVideo SequenceRetrieval System


Authors’ Affiliations

Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo, Japan


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© T. Yamasaki and K. Aizawa. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.