Nlp Based Person Retrival

Text-based Person Retrieval is a method that combines natural language processing and computer vision technologies, aiming to retrieve images of specific individuals through textual descriptions. This method achieves accurate retrieval by performing semantic understanding and feature extraction on the text descriptions and matching them with the features of people in the images. Its primary goal is to enhance the relevance and retrieval efficiency of cross-modal data, and it is widely applied in intelligent surveillance, identity verification, and personalized recommendations, among other fields, making it highly valuable in practical applications.