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| Field |
Value |
| Title: | Mining temporal co-orientation pattern from spatio-temporal databases |
| Authors: | Wei, L.-Y.;Shan, Man-Kwan
沈錳坤 |
| Contributors: | 資科系 |
| Keywords: | Content based retrieval; Database systems; Image recognition; Problem solving; Pattern mining; Spatial coorientation patterns; Data mining |
| Date: | 2007 |
| Issue Date: | 2015-07-13 15:35:45 (UTC+8) |
| Abstract: | 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. |
| Relation: | 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 |
| Data Type: | conference |
| DCField |
Value |
Language |
| dc.contributor (Contributor) | 資科系 | - |
| dc.creator (Authors) | Wei, L.-Y.;Shan, Man-Kwan | - |
| dc.creator (Authors) | 沈錳坤 | - |
| dc.date (Date) | 2007 | - |
| dc.date.accessioned | 2015-07-13 15:35:45 (UTC+8) | - |
| dc.date.available | 2015-07-13 15:35:45 (UTC+8) | - |
| dc.date.issued (Issue Date) | 2015-07-13 15:35:45 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/76499 | - |
| dc.description.abstract (Abstract) | 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 (Relation) | 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 (Relation) | 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007,22 May 2007 through 25 May 2007,Nanjing | - |
| dc.subject (Keywords) | Content based retrieval; Database systems; Image recognition; Problem solving; Pattern mining; Spatial coorientation patterns; Data mining | - |
| dc.title (Title) | Mining temporal co-orientation pattern from spatio-temporal databases | - |
| dc.type (Data Type) | conference | en |
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