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- W4313180573 abstract "The paper presents a general computer vision model based on neural-symbolic artificial intelligence capable of performing semantic analysis of a video stream. The proposed approach integrates artificial neural networks (ANN) with the knowledge base on the basis of an ontological approach. In this case, the knowledge base interacts with the neural networks as with agents and the results of their functioning are used for further semantic analysis. The problems of object detection and recognition of images, as well as emotions, are considered as tasks of computer vision. The features, advantages and prospects of using this model are described. Its implementation is considered on the example of an intelligent module that includes the FaceNet and eXnet neural network models for face identification and emotion recognition in the conversational modeling system." @default.
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- W4313180573 date "2022-01-01" @default.
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- W4313180573 title "A Neural-Symbolic Approach to Computer Vision" @default.
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- W4313180573 doi "https://doi.org/10.1007/978-3-031-15882-7_15" @default.
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