图 书 馆
用于视频理解的协作深度度量学习Collaborative Deep Metric Learning for Video Understanding |
|
| 课程网址: | http://videolectures.net/kdd2018_lee_video_understanding/ |
| 主讲教师: | Joonseok Lee |
| 开课单位: | 谷歌 |
| 开课时间: | 2018-11-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The goal of video understanding is to develop algorithms that enable machines understand videos at the level of human experts. Researchers have tackled various domains including video classification, search, personalized recommendation, and more. However, there is a research gap in combining these domains in one unified learning framework. Towards that, we propose a deep network that embeds videos using their audio-visual content, onto a metric space which preserves video-to-video relationships. Then, we use the trained embedding network to tackle various domains including video classification and recommendation, showing significant improvements over state-of-the-art baselines. The proposed approach is highly scalable to deploy on large-scale video sharing platforms like YouTube. |
| 关 键 词: | 视频理解; 开发算法; 嵌入网络 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-06：chenjy |
| 最后编审: | 2022-12-06：chenjy |
| 阅读次数: | 38 |