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Miniaturized five fundamental issues about visual knowledge
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Yun-he Pan. Miniaturized five fundamental issues about visual knowledge[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(5): 615-618.
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author="Yun-he Pan",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="22",
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pages="615-618",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2040000"
}
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2040000
Abstract: The five fundamental issues on visual knowledge are expression of visual knowledge, visual recognition, simulation of visual imagery thinking, learning of visual knowledge, and multiple expressions of knowledge. Our analysis shows that the distinct advantages of visual knowledge are its capacity to generate comprehensive imagery, its spatio-temporal evolution capacity and imagery display capacity. These are the features currently lacking in character knowledge and DNN. Integration of AI and CAD/CG/CV technologies will provide a vital foundation for the development of AI in terms of creation, prediction, and man-machine integration. The study of visual knowledge and multiple expressions of knowledge is the key to the development of visual intelligence and the main theory and technology to enable AI 2.0 to make major breakthroughs. It is a desolate, clammy, and fertile “Great Northern Wilderness,” but also a “depopulated land” full of hope and worthy of multi-disciplinary cooperation.
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