Temporal sentence grounding in videos: a survey and future directions

• Main Authors: Zhang, Hao, Sun, Aixin, Jing, Wei, Zhou, Joey Tianyi
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Cross-Modal Video Retrieval; Multimodal Learning
• Online Access: https://hdl.handle.net/10356/172187
• Institution: Nanyang Technological University

Temporal sentence grounding in videos (TSGV), a.k.a., natural language video localization (NLVL) or video moment retrieval (VMR), aims to retrieve a temporal moment that semantically corresponds to a language query from an untrimmed video. Connecting computer vision and natural language, TSGV has dr...