| dc.contributor | 資科系 | en_US |
| dc.creator (作者) | 沈錳坤 | zh_TW |
| dc.creator (作者) | Shan,Man-Kwan ; Wei,Ling-Yin | en_US |
| dc.date (日期) | 2010.08 | en_US |
| dc.date.accessioned | 11-Nov-2013 16:28:10 (UTC+8) | - |
| dc.date.available | 11-Nov-2013 16:28:10 (UTC+8) | - |
| dc.date.issued (上傳時間) | 11-Nov-2013 16:28:10 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/61584 | - |
| dc.description.abstract (摘要) | Image mining is an important task to discover interesting and meaningful patterns form large image databases. In this paper, we introduce the spatial co-orientation patterns in image databases. Spatial co-orientation patterns refer to objects that frequently occur with the same spatial orientation, e.g. left, right, below, etc. among images. For example, an object P is frequently left to an object Q among images. We utilize the data structure, 2D string, to represent the spatial orientation of objects in an image. Two approaches, Apriori-based and pattern-growth approaches, are proposed for mining co-orientation patterns. An experimental evaluation with synthetic datasets shows the advantage and disadvantage between these two algorithms. | en_US |
| dc.format.extent | 1187152 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Expert Systems with Applications: An International Journal, 37(8) , 5795-5802 | en_US |
| dc.subject (關鍵詞) | Spatial co-orientation patterns; 2D string; Iconic images; Spatial mining | en_US |
| dc.title (題名) | Algorithms for Discovery of Spatial Co-orientation Patterns from Images | en_US |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1016/j.eswa.2010.02.028 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1016/j.eswa.2010.02.028 | en_US |
