Text to Video Retrieval

Text to Video Retrieval is a multimodal information retrieval technique that aims to analyze the semantic associations between textual content and video clips, thereby accurately locating and extracting video segments that match the text description from a large-scale video library. The goal of this task is to improve the accuracy and efficiency of cross-media information retrieval. Its application value lies in meeting users' personalized video search needs based on natural language queries, and it is widely used in video recommendation, content moderation, and intelligent editing fields. In the context of music, this technology can assist in the automatic matching and creation of music videos.