Research on Video Sample Collection and Processing Methods Based on Artificial Intelligence Platform

This paper summarizes the video sample collection and processing methods based on artificial intelligence platform, focusing on video noise cancellation, content segmentation and classification, and feature extraction and representation techniques. The paper believes that the deep learning technolog...

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Vydáno v:	Procedia computer science Ročník 247; s. 609 - 616
Hlavní autoři:	Hu, An, Wang, Qi, Xu, Xiaoguang, Zhao, Yao, Ji, Qian, Pei, Lei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 2024
Témata:	Artificial Intelligence, Video Processing, Deep Learning Convolutional Neural Network Convolutional Neural Network Artificial Intelligence, Video Processing, Deep Learning
ISSN:	1877-0509, 1877-0509
On-line přístup:	Získat plný text
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Shrnutí:	This paper summarizes the video sample collection and processing methods based on artificial intelligence platform, focusing on video noise cancellation, content segmentation and classification, and feature extraction and representation techniques. The paper believes that the deep learning technology, especially the convolutional neural network, shows great potential in image recognition and video analysis, and effectively improves the level of automation and accuracy of video processing. This paper discusses the importance of building a large-scale and high-quality video sample library, and how to improve the processing efficiency and accuracy of video data through intelligent technology.
ISSN:	1877-0509 1877-0509
DOI:	10.1016/j.procs.2024.10.073