图 书 馆
大规模和大规模的图像搜索Large-scale and larger-scale image search |
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| 课程网址: | http://videolectures.net/bmvc2012_jegou_image_search/ |
| 主讲教师: | Hervé Jégou |
| 开课单位: | 法国国家信息与自动化研究所 |
| 开课时间: | 2012-10-09 |
| 课程语种: | 英语 |
| 中文简介: |  本教程的第一部分致力于大规模图像检索，在考虑无监督框架时，将首先介绍典型的用例和用于评估图像搜索的数据集。我们将介绍不同类别的技术，这些方面将在效率和搜索质量方面进行权衡取舍。从最昂贵但最精确的基于补丁的匹配和空间验证技术开始，我们将介绍词袋模型，其匹配解释和多项改进，包括基于空间验证和查询扩展的重新排序技术。最后，将详细介绍基于聚合/编码技术和压缩域搜索的最具可伸缩性的技术。 |
| 课程简介: | The first part of this tutorial, dedicated to large-scale image retrieval, will first introduce the typical use-cases and the datasets used for evaluation of image search when considering an unsupervised framework. We will present different classes of techniques considering different trade-offs with respect to efficiency and search quality. Starting with the most costly but precise patch-based matching and spatial verification techniques, we will present the bag-of-words model, its matching interpretation and several improvements, including re-ranking techniques based on spatial verification and query expansion. Finally, the most scalable techniques based on aggregation/coding techniques and compressed-domain search will be detailed. |
| 关 键 词: | 空间验证; 图像检索 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-11-19：zyk |
| 最后编审: | 2021-01-15：yumf |
| 阅读次数: | 34 |