Caption Pair

Caption pairs, comprising videos and their corresponding textual descriptions, are central to advancing video understanding in artificial intelligence. Current research focuses on developing robust models capable of handling temporal reasoning and semantic binding within videos, often employing transformer-based architectures and leveraging large-scale datasets for training. A key challenge lies in overcoming limitations in existing models' ability to accurately capture complex relationships between visual and textual information, particularly in longer videos or those with noisy or ambiguous content. This research area is crucial for improving various applications, including video retrieval, question answering, and summarization.