A Cross modal Image and Text Retrieval Method for OpenKylin

With the rapid development of computer vision and natural language processing, there is an increasing demand for cross-modal retrieval (CMR) from users. The domestic operating system, openKylin, plays a key role in promoting domestic operating systems. It enriches the operating system functions with secure and trusted operation technology as the core. It is of great practical significance to integrate the field of computer vision into the domestic operating system. A graph retrieval method based on OpenKylin is proposed to enhance the functionality of searching graphs using text. This paper begins with a review of relevant domestic and international research on this technology. It then provides details on the design and implementation process, and concludes by demonstrating the final implementation results. The actual operational results demonstrate that the method is characterized by both high performance and high accuracy.