Video Temporal Grounding

Video temporal grounding (VTG) aims to pinpoint the exact moments in untrimmed videos that correspond to a given textual description, bridging the gap between visual and linguistic understanding. Current research emphasizes improving robustness and generalization, focusing on techniques like leveraging large pre-trained vision-language models (VLMs) and large language models (LLMs), developing efficient transfer learning methods, and addressing biases in training data. These advancements are crucial for applications like video summarization, highlight detection, and content-based video retrieval, ultimately enhancing human-computer interaction with video data.