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題名 Mining temporal co-orientation pattern from spatio-temporal databases
作者 Wei, L.-Y.;Shan, Man-Kwan
沈錳坤
貢獻者 資科系
關鍵詞 Content based retrieval; Database systems; Image recognition; Problem solving; Pattern mining; Spatial coorientation patterns; Data mining
日期 2007
上傳時間 13-Jul-2015 15:35:45 (UTC+8)
摘要 A spatial co-orientation pattern refers to objects that frequently occur with the same spatial orientation, e.g. left, right, below, etc., among images. In this paper, we introduce temporal co-orientation pattern mining which is the problem of temporal aspects of spatial co-orientation patterns. A temporal coorientation pattern represents how spatial co-orientation patterns change over time. Temporal co-orientation pattern mining is useful for discovering tactics from play sequences of sports video data, because the most tactic patterns of basketball competition are constituted of such spatial co-orientation patterns in time order. We propose the three-stage approach, which transforms the problem into sequential pattern mining, for mining temporal co-orientation patterns. We experimentally evaluate the performance of the proposed algorithm and analysis the effect of these stages. © Springer-Verlag Berlin Heidelberg 2007.
關聯 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),Volume 4426 LNAI, Pages 895-903
11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007,22 May 2007 through 25 May 2007,Nanjing
資料類型 conference
dc.contributor 資科系-
dc.creator (作者) Wei, L.-Y.;Shan, Man-Kwan-
dc.creator (作者) 沈錳坤-
dc.date (日期) 2007-
dc.date.accessioned 13-Jul-2015 15:35:45 (UTC+8)-
dc.date.available 13-Jul-2015 15:35:45 (UTC+8)-
dc.date.issued (上傳時間) 13-Jul-2015 15:35:45 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/76499-
dc.description.abstract (摘要) A spatial co-orientation pattern refers to objects that frequently occur with the same spatial orientation, e.g. left, right, below, etc., among images. In this paper, we introduce temporal co-orientation pattern mining which is the problem of temporal aspects of spatial co-orientation patterns. A temporal coorientation pattern represents how spatial co-orientation patterns change over time. Temporal co-orientation pattern mining is useful for discovering tactics from play sequences of sports video data, because the most tactic patterns of basketball competition are constituted of such spatial co-orientation patterns in time order. We propose the three-stage approach, which transforms the problem into sequential pattern mining, for mining temporal co-orientation patterns. We experimentally evaluate the performance of the proposed algorithm and analysis the effect of these stages. © Springer-Verlag Berlin Heidelberg 2007.-
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),Volume 4426 LNAI, Pages 895-903-
dc.relation (關聯) 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007,22 May 2007 through 25 May 2007,Nanjing-
dc.subject (關鍵詞) Content based retrieval; Database systems; Image recognition; Problem solving; Pattern mining; Spatial coorientation patterns; Data mining-
dc.title (題名) Mining temporal co-orientation pattern from spatio-temporal databases-
dc.type (資料類型) conferenceen