caa a22 4500 605468443 CHVBK 20210128100316.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00500-014-1237-5 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1237-5 Motion retrieval using weighted graph matching [Elektronische Daten] [Qinkun Xiao, Yi Wang, Haiyun Wang] In this paper, we propose a content-based motion retrieval (CBMR) algorithm, where many-to-many matching method, weighted graph matching, is employed for comparison between two motions. Our novel points can be described as: (1) A selection approach of representative frames (RF) is presented, in this work, each motion is represented by a set of sequence frames, representative frames are first selected from the motions based on Fuzzy clustering and the corresponding initial weights are provided. (2) The RF-based weighted graph model (RF-WGM) is constructed, and a revised KM (Kuhn-Munkres) algorithm is used to solve maximum matching problem of weighted graph. The RF-WGM matching result is used to measure the similarity between two motions. Experimental results and comparison with existing methods show the effectiveness of the proposed algorithm. Springer-Verlag Berlin Heidelberg, 2014 CBMR nationallicence RF-WGM nationallicence Revised KM algorithm nationallicence Xiao Qinkun Department of Electronics Information Engineering, Xi'an Technological University, 710032, Xi'an, China aut Wang Yi Department of Electronics Information Engineering, Xi'an Technological University, 710032, Xi'an, China aut Wang Haiyun STMicroelectronics R&D of Asia-Pacific, 554574, Singapore, Singapore aut Soft Computing Springer Berlin Heidelberg 19/1(2015-01-01), 133-144 1432-7643 19:1<133 2015 19 500 https://doi.org/10.1007/s00500-014-1237-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1237-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Xiao Qinkun Department of Electronics Information Engineering, Xi'an Technological University, 710032, Xi'an, China aut NATIONALLICENCE 700 1- Wang Yi Department of Electronics Information Engineering, Xi'an Technological University, 710032, Xi'an, China aut NATIONALLICENCE 700 1- Wang Haiyun STMicroelectronics R&D of Asia-Pacific, 554574, Singapore, Singapore aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/1(2015-01-01), 133-144 1432-7643 19:1<133 2015 19 500