Constructing holistic spatio-temporal scene graph for video semantic role labeling

• Main Authors: ZHAO, Yu, FEI, Hao, CAO, Yixin, LI, Bobo, ZHANG, Meishan, WEI, Jianguo, ZHANG, Min, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: video understanding; semantics role labeling; event extraction; scene graph; Graphics and Human Computer Interfaces; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/8290; https://ink.library.smu.edu.sg/context/sis_research/article/9293/viewcontent/2308.05081.pdf
• Institution: Singapore Management University

As one of the core video semantic understanding tasks, Video Semantic Role Labeling (VidSRL) aims to detect the salient events from given videos, by recognizing the predict-argument event structures and the interrelationships between events. While recent endeavors have put forth methods for VidSRL,...