Video Text Retrieval

Video-Text Retrieval is a task that combines computer vision and natural language processing, aiming to achieve accurate matching and retrieval between video and text through the understanding of multimodal information. The goal of this task is to precisely locate the most relevant video segments from a large amount of video data based on a given text query, or conversely, to extract content from videos that best matches the given text. Its application value lies in enhancing the efficiency and accuracy of multimedia information retrieval, with broad applications in video search engines, content recommendation systems, and intelligent media management, among other fields.