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柏拉图在卫星图像信息挖掘PLATO for Information Mining in Satellite Imagery |
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| 课程网址: | http://videolectures.net/samt08_campedel_pim/ |
| 主讲教师: | Marine Campedel |
| 开课单位: | 巴黎电信科技公司 |
| 开课时间: | 2008-12-18 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Satellite images are numerous and weakly exploited: it is urgent to develop an efficient and fast indexing/retrieval system to easy their access. Content-based image retrieval systems (CBIR) are known to provide an efficient framework. We thus propose to associate a CBIR approach with text-based queries to adapt to these big (12000$times$12000 pixels) and semantically rich images. The presented system relies on a multimedia data mining system called PLATO able to adapt to any kind of multimedia data. Moreover state-of-the-art relevance feedback strategy is introduced to provide interactive learning and auto annotation. |
| 关 键 词: | 卫星图像信息挖掘; 快速索引; 多媒体数据挖掘系统 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-17：yumf |
| 阅读次数: | 64 |