Research on Recognition and Monitoring Technology of Television Image Static Frames Based on Deep Learning
This paper proposes a method for recognizing and monitoring static frames in television images based on deep learning.This method is based on the Pytorch deep learning framework and uses the Swin Transformer model to train,validate,and test TV image still frame data in different scenarios.The feasibility of using deep learning technology to identify and monitor static frames in television images is verified,which can improve monitoring efficiency and provide strong guarantees for the safe broadcasting of television programs.
Deep learningSwin-TransformerImage recognitionMonitoring and supervision
NETL
NSTL
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