{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T17:31:27Z","timestamp":1730223087135,"version":"3.28.0"},"reference-count":5,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,18]]},"DOI":"10.1109\/gcce56475.2022.10014090","type":"proceedings-article","created":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T13:53:09Z","timestamp":1674049989000},"page":"68-71","source":"Crossref","is-referenced-by-count":0,"title":["Selective Use of Skeletal Information to Reduce Computational Complexity of Motion Matching"],"prefix":"10.1109","author":[{"given":"Shohei","family":"Adachi","sequence":"first","affiliation":[{"name":"Waseda University,Graduate School of Fundamental Science and Engineering,Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryohei","family":"Osawa","sequence":"additional","affiliation":[{"name":"Waseda University,Graduate School of Fundamental Science and Engineering,Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroshi","family":"Watanabe","sequence":"additional","affiliation":[{"name":"Waseda University,Graduate School of Fundamental Science and Engineering,Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2307\/2332226"},{"key":"ref3","first-page":"1","article-title":"Sports Motion Matching Based on Atheletes&#x2019; Pose Similarity","volume":"116","author":"osawa","year":"2022","journal-title":"Information Processing Society of Japan (IPSJ) Technical Report of Audio Visual and Multimedia information processing (AVM)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2307\/1412159"},{"journal-title":"Alignment Method for Body Parts Coordinates Obtained from Sport Video","year":"2019","author":"yokoi","key":"ref2"},{"key":"ref1","first-page":"1302","article-title":"Realtime Multi-Person 2D Pose Estimation using Part Affinitiy Fields","author":"cao","year":"2017","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}],"event":{"name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","start":{"date-parts":[[2022,10,18]]},"location":"Osaka, Japan","end":{"date-parts":[[2022,10,21]]}},"container-title":["2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10013950\/10014027\/10014090.pdf?arnumber=10014090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T16:56:11Z","timestamp":1676912171000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10014090\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,18]]},"references-count":5,"URL":"https:\/\/doi.org\/10.1109\/gcce56475.2022.10014090","relation":{},"subject":[],"published":{"date-parts":[[2022,10,18]]}}}