The construction of digital multimedia image information retrieval model based on visual communication

Abstract

In order to guarantee the research goal of fast and accurate detection of massive image information, a new model method of digital multimedia image information retrieval based on visual communication is proposed. Through the collection of the information features of massive digital multimedia images, the image category retrieval and feature class analysis are realized. Based on this, the paper further constructs and optimizes the retrieval procedure of multimedia image information. By optimizing the dimension of feature vector, we get a smaller dimension of feature vector, analyze the generation and matching of the feature vector image features of multimedia images, optimize the image feature feedback algorithm, and effectively realize the construction of the digital multimedia image information retrieval model Building. Finally, the experiment proves that the construction effect of the digital multimedia image information retrieval model based on visual communication is obviously better than the traditional method, and can achieve the accurate retrieval of the massive image more quickly and accurately, effectively improve the retrieval accuracy and speed, and fully meet the research requirements.