图 书 馆
聚集的局部描述符成一个紧凑的图像表示Aggregating local descriptors into a compact image representation |
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| 课程网址: | http://videolectures.net/cvpr2010_jegou_ald/ |
| 主讲教师: | Hervé Jégou |
| 开课单位: | 无 |
| 开课时间: | 2010-07-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We address the problem of image search on a very large scale, where three constraints have to be considered jointly: the accuracy of the search, its efficiency, and the memory usage of the representation. We first propose a simple yet efficient way of aggregating local image descriptors into a vector of limited dimension, which can be viewed as a simplification of the Fisher kernel representation. We then show how to jointly optimize the dimension reduction and the indexing algorithm, so that it best preserves the quality of vector comparison. The evaluation shows that our approach significantly outperforms the state of the art: the search accuracy is comparable to the bag-of-features approach for an image representation that fits in 20 bytes. Searching a 10 million image dataset takes about 50ms. |
| 关 键 词: | 计算机科学; 计算机视觉; 图像及视频检索 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-14：liush |
| 阅读次数: | 75 |