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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| Vydané v: | Procedia computer science Ročník 247; s. 609 - 616 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier B.V
2024
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| ISSN: | 1877-0509, 1877-0509 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Wang, Qi Pei, Lei Ji, Qian Hu, An Zhao, Yao Xu, Xiaoguang |
| Author_xml | – sequence: 1 givenname: An surname: Hu fullname: Hu, An email: 675406853@qq.com organization: State Grid Henan Information and Telecommunication Company, Zhengzhou 450052, Henan Province, China – sequence: 2 givenname: Qi surname: Wang fullname: Wang, Qi organization: State Grid Henan Electric power Company, Zhengzhou 450052, Henan Province, China – sequence: 3 givenname: Xiaoguang surname: Xu fullname: Xu, Xiaoguang organization: State Grid Henan Information and Telecommunication Company, Zhengzhou 450052, Henan Province, China – sequence: 4 givenname: Yao surname: Zhao fullname: Zhao, Yao organization: State Grid Henan Information and Telecommunication Company, Zhengzhou 450052, Henan Province, China – sequence: 5 givenname: Qian surname: Ji fullname: Ji, Qian organization: Henan Jiuyu Tenglong Information Engineering Co., Ltd, Zhengzhou 450052, Henan Province, China – sequence: 6 givenname: Lei surname: Pei fullname: Pei, Lei organization: Henan Jiuyu Tenglong Information Engineering Co., Ltd, Zhengzhou 450052, Henan Province, China |
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| Keywords | Convolutional Neural Network Artificial Intelligence, Video Processing, Deep Learning |
| Language | English |
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| SubjectTerms | Artificial Intelligence, Video Processing, Deep Learning Convolutional Neural Network |
| Title | Research on Video Sample Collection and Processing Methods Based on Artificial Intelligence Platform |
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