TY - GEN
T1 - Video Relation Detection with Trajectory-aware Multi-modal Features
AU - Xie, Wentao
AU - Ren, Guanghui
AU - Liu, Si
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/10/12
Y1 - 2020/10/12
N2 - Video relation detection problem refers to the detection of the relationship between different objects in videos, such as spatial relationship and action relationship. In this paper, we present video relation detection with trajectory-aware multi-modal features to solve this task. Considering the complexity of doing visual relation detection in videos, we decompose this task into three sub-tasks: object detection, trajectory proposal and relation prediction. We use the state-of-the-art object detection method to ensure the accuracy of object trajectory detection and multi-modal feature representation to help the prediction of relation between objects. Our method won the first place on the video relation detection task of Video Relation Understanding Grand Challenge in ACM Multimedia 2020 with 11.74% mAP, which surpasses other methods by a large margin.
AB - Video relation detection problem refers to the detection of the relationship between different objects in videos, such as spatial relationship and action relationship. In this paper, we present video relation detection with trajectory-aware multi-modal features to solve this task. Considering the complexity of doing visual relation detection in videos, we decompose this task into three sub-tasks: object detection, trajectory proposal and relation prediction. We use the state-of-the-art object detection method to ensure the accuracy of object trajectory detection and multi-modal feature representation to help the prediction of relation between objects. Our method won the first place on the video relation detection task of Video Relation Understanding Grand Challenge in ACM Multimedia 2020 with 11.74% mAP, which surpasses other methods by a large margin.
KW - object trajectory detection
KW - relation prediction
KW - video relation detection
UR - https://www.scopus.com/pages/publications/85105009903
U2 - 10.1145/3394171.3416284
DO - 10.1145/3394171.3416284
M3 - 会议稿件
AN - SCOPUS:85105009903
T3 - MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia
SP - 4590
EP - 4594
BT - MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia
PB - Association for Computing Machinery, Inc
T2 - 28th ACM International Conference on Multimedia, MM 2020
Y2 - 12 October 2020 through 16 October 2020
ER -