Language Based Temporal Localization

Language-Based Temporal Localization is a method that combines natural language processing and computer vision technologies to accurately pinpoint the time segments in videos where specific events or activities occur, based on textual descriptions. This approach uses language models to parse the text queries provided by users, extract key temporal information, and match it with the video content, thereby achieving efficient and precise temporal localization. Its application value lies in enhancing the intelligence level of multimedia retrieval systems, optimizing video content management, and improving user interaction experiences.