KEYWORDS: Data modeling, Feature extraction, Image retrieval, Simulation of CCA and DLA aggregates, Associative arrays, Particle filters, Mining, Matrices, Video, Data processing
Based on the research of subspace cross-modal retrieval method based on high-level semantic correlation, a subspace cross-modal retrieval method based on hypergraph ranking is proposed. The method is mainly divided into two parts: subspace mapping and hypergraph sorting. In the subspace mapping part, the high-order semantic correlation and sparse structural constraints of multi-modal data are considered. The hypergraph sorting part uses hypergraphs to describe multiple targets. The characteristics of multiple correlations of multimodal data are comprehensively considered, and the similarity between multimodal data is comprehensively considered, and the semantic correlation between multimodal data is further mined. Combining hypergraph sorting and subspace learning to further mine semantic associations between cross-modal data can further improve cross-modal retrieval accuracy.
Deep Semantic Multimodal Hashing (DCMH) is a cross-modal hash retrieval method based on a deep learning framework that combines deep feature learning and hash learning. The method uses the extracted text and image data features as hash codes to form an end-to-end network of directly discrete optimized binary hash codes. In the era of new media, the WeChat public platform is one of the most important channels for teaching information services in colleges and universities, so that information services can directly point to the needs of teachers and students. Using the WeChat public account as the front end , based on DCMH, a method of extracting fine-grained features on images and texts was designed, and it set up feature learning and label prediction for multi-modal data, built a multi-modal retrieval platform based on WeChat public account, and designed DCMH-based feature training data mining and public account front multimodal data interaction model diagram, keeping up with the digital age to meet the development requirements, to achieve a major change in teaching management, and improve the efficiency and level of service.
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