Abstract
The Waseda Meisei SoftBank team participated in the TRECVID 2019 Ad-hoc Video Search (AVS) task [1]. For this year's AVS task, we submitted both manually assisted and fully automatic runs. Our approach consisted of concept-based video retrieval for manually assisted runs and visual-semantic embedding for fully automatic runs. Our best manually assisted run achieved a mean average precision (mAP) of 15.2%, which ranked the highest among all the manually assisted systems. Our fully automatic run achieved an mAP of 12.3%, which ranked third among all participants.
| Original language | English |
|---|---|
| Publication status | Published - 2020 |
| Event | 2019 TREC Video Retrieval Evaluation, TRECVID 2019 - Gaithersburg, United States Duration: 2019 Nov 12 → 2019 Nov 13 |
Conference
| Conference | 2019 TREC Video Retrieval Evaluation, TRECVID 2019 |
|---|---|
| Country/Territory | United States |
| City | Gaithersburg |
| Period | 19/11/12 → 19/11/13 |
ASJC Scopus subject areas
- Information Systems
- Signal Processing
- Electrical and Electronic Engineering