Motion retrieval using weighted graph matching
| LEADER | caa a22 4500 | ||
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| 001 | 605468443 | ||
| 003 | CHVBK | ||
| 005 | 20210128100316.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1237-5 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1237-5 | ||
| 245 | 0 | 0 | |a Motion retrieval using weighted graph matching |h [Elektronische Daten] |c [Qinkun Xiao, Yi Wang, Haiyun Wang] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a CBMR |2 nationallicence | |
| 690 | 7 | |a RF-WGM |2 nationallicence | |
| 690 | 7 | |a Revised KM algorithm |2 nationallicence | |
| 700 | 1 | |a Xiao |D Qinkun |u Department of Electronics Information Engineering, Xi'an Technological University, 710032, Xi'an, China |4 aut | |
| 700 | 1 | |a Wang |D Yi |u Department of Electronics Information Engineering, Xi'an Technological University, 710032, Xi'an, China |4 aut | |
| 700 | 1 | |a Wang |D Haiyun |u STMicroelectronics R&D of Asia-Pacific, 554574, Singapore, Singapore |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/1(2015-01-01), 133-144 |x 1432-7643 |q 19:1<133 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1237-5 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1237-5 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Xiao |D Qinkun |u Department of Electronics Information Engineering, Xi'an Technological University, 710032, Xi'an, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wang |D Yi |u Department of Electronics Information Engineering, Xi'an Technological University, 710032, Xi'an, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wang |D Haiyun |u STMicroelectronics R&D of Asia-Pacific, 554574, Singapore, Singapore |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/1(2015-01-01), 133-144 |x 1432-7643 |q 19:1<133 |1 2015 |2 19 |o 500 | ||