Large-Scale Networked Visual Data: Current Research and Future Trends in Associative Inference and Semantic Comprehension


  • Yu Wu



Visual cognitive mechanisms, Machine learning, Association understanding, Semantic structure.


 Aiming at the fact that most of the existing visual data comprehension deals with individual visual objects in isolation and focuses on their inherent characteristics, and pays insufficient attention to the characteristics of network heterogeneous distribution and interconnections, which leads to difficulties in solving low computational efficiency, and understanding of low-level semantics, etc., we elaborate on the hotspots of the research of associative inference and semantic comprehension of large-scale networked visual data, analyze the current status of the research at home and abroad, and look forward to the development trend in this direction. We analyze the current research situation at home and abroad and make an outlook on the development trend of this direction.


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How to Cite

Large-Scale Networked Visual Data: Current Research and Future Trends in Associative Inference and Semantic Comprehension. (2023). Academic Journal of Science and Technology, 6(3), 114-117.

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