| dc.contributor | 資科系 | en_US |
| dc.creator (作者) | 陳良弼 | zh_TW |
| dc.creator (作者) | Liu,C. C. | en_US |
| dc.creator (作者) | Chen,Arbee L. P. | en_US |
| dc.date (日期) | 2002 | en_US |
| dc.date.accessioned | 21-Aug-2014 14:54:30 (UTC+8) | - |
| dc.date.available | 21-Aug-2014 14:54:30 (UTC+8) | - |
| dc.date.issued (上傳時間) | 21-Aug-2014 14:54:30 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/69133 | - |
| dc.description.abstract (摘要) | In this paper, a video query model based on the content of video and iconic indexing is proposed. We extend the notion of two-dimensional strings to three-dimensional strings (3D-Strings) for representing the spatial and temporal relationships among the symbols in both a video and a video query. The problem of video query processing is then transformed into a problem of three-dimensional pattern matching. To efficiently match the 3D-Strings, a data structure, called 3D-List, and its related algorithms are proposed. In this approach, the symbols of a video in the video database are retrieved from the video index and organized as a 3D-List according to the 3D-String of the video query. The related algorithms are then applied on the 3D-List to determine whether this video is an answer to the video query. Based on this approach, we have started a project called Vega. In this project, we have implemented a user friendly interface for specifying video queries, a video index tool for constructing the video index, and a video query processor based on the notion of 3D-List. Some experiments are also performed to show the efficiency and effectiveness of the proposed algorithms. | en_US |
| dc.format.extent | 104 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | IEEE Transactions on Knowledge and Data Engineering (EI,SCI),14(1),106-122 | en_US |
| dc.title (題名) | 3D-List: A Data Structure for Efficient Video Query Processing | en_US |
| dc.type (資料類型) | article | en |
