Abstract
With the rapid development of modern society, people demand higher and higher performance of various products, there are many quality problems in the process of practical application. Therefore, in order to improve user experience and improve this situation this paper proposes a video quality diagnosis system based on convolutional neural network. The design includes various construction methods, several main framework structures and related databases. This paper takes the video quality during video conferencing as the research object, hopes to build a video quality diagnosis system using the theory of convolutional neural network.
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Application of neural network in human action recognition.
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Yi, H., Zhan, X. (2023). Video Quality Diagnosis System Based on Convolutional Neural Network. In: Hung, J.C., Chang, JW., Pei, Y. (eds) Innovative Computing Vol 2 - Emerging Topics in Future Internet. IC 2023. Lecture Notes in Electrical Engineering, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-99-2287-1_85
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DOI: https://doi.org/10.1007/978-981-99-2287-1_85
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