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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Bibliographic Details
Published in:Procedia computer science Vol. 247; pp. 609 - 616
Main Authors: Hu, An, Wang, Qi, Xu, Xiaoguang, Zhao, Yao, Ji, Qian, Pei, Lei
Format: Journal Article
Language:English
Published: Elsevier B.V 2024
Subjects:
Artificial Intelligence, Video Processing, Deep Learning
Convolutional Neural Network
Convolutional Neural Network
Artificial Intelligence, Video Processing, Deep Learning
ISSN:1877-0509, 1877-0509
Online Access:Get full text
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Summary: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