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題名 Mining Temporal Co-orientation Pattern from Spatio-temporal Databases
作者 Shan, Man-kwan;Wei, Ling-yin
沈錳坤
貢獻者 資科系
日期 2007
上傳時間 17-Jun-2015 15:44:48 (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 co- orientation 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.
關聯 Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD , pp. 895-903
資料類型 article
DOI http://dx.doi.org/10.1007/978-3-540-71701-0_100
dc.contributor 資科系
dc.creator (作者) Shan, Man-kwan;Wei, Ling-yin
dc.creator (作者) 沈錳坤zh_TW
dc.date (日期) 2007
dc.date.accessioned 17-Jun-2015 15:44:48 (UTC+8)-
dc.date.available 17-Jun-2015 15:44:48 (UTC+8)-
dc.date.issued (上傳時間) 17-Jun-2015 15:44:48 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75896-
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 co- orientation 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.
dc.format.extent 128 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD , pp. 895-903
dc.title (題名) Mining Temporal Co-orientation Pattern from Spatio-temporal Databases
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/978-3-540-71701-0_100
dc.doi.uri (DOI) http://dx.doi.org/10.1007/978-3-540-71701-0_100