Temporal sentence grounding in videos: a survey and future directions

• المؤلفون الرئيسيون: Zhang, Hao, Sun, Aixin, Jing, Wei, Zhou, Joey Tianyi
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Cross-Modal Video Retrieval; Multimodal Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/172187

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...