{"title":"基于Super-SloMo技术的档案视频智能修复方法","authors":"Hui Li","doi":"10.1515/res-2023-0008","DOIUrl":null,"url":null,"abstract":"Abstract Due to equipment limitations in the early shooting of video files, and the damage and aging in the later file storage process, some historic video materials in video archives can easily suffer from defects such as poor action coherence. This paper proposes an intelligent enhanced repair method of archival videos. The method first obtains the frame rate of the input video, then calculates the dynamic coefficient of the video according to the frame rate and duration number, uses the artificial intelligence algorithm Super-SloMo technology to fix the problematic digital video to the required frame rate, improves the video's dynamic coefficient, and finally achieves the purpose of getting the enhanced repaired digital copies of the original video materials from video archives. This paper also proposes an intelligent enhanced repair prototype system based on the method. The experiment shows that the enhanced repair effect is effective and improves the clarity and coherence of the video. Users get more coherent copies of historic video materials. This solves the problem of the poor perception caused by the loss of frames, preserves the original information, and makes the information obtained from archival videos intuitive.","PeriodicalId":21154,"journal":{"name":"Restaurator. International Journal for the Preservation of Library and Archival Material","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent Repair Method for Archival Videos Based on the Super-SloMo Technology\",\"authors\":\"Hui Li\",\"doi\":\"10.1515/res-2023-0008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Due to equipment limitations in the early shooting of video files, and the damage and aging in the later file storage process, some historic video materials in video archives can easily suffer from defects such as poor action coherence. This paper proposes an intelligent enhanced repair method of archival videos. The method first obtains the frame rate of the input video, then calculates the dynamic coefficient of the video according to the frame rate and duration number, uses the artificial intelligence algorithm Super-SloMo technology to fix the problematic digital video to the required frame rate, improves the video's dynamic coefficient, and finally achieves the purpose of getting the enhanced repaired digital copies of the original video materials from video archives. This paper also proposes an intelligent enhanced repair prototype system based on the method. The experiment shows that the enhanced repair effect is effective and improves the clarity and coherence of the video. Users get more coherent copies of historic video materials. This solves the problem of the poor perception caused by the loss of frames, preserves the original information, and makes the information obtained from archival videos intuitive.\",\"PeriodicalId\":21154,\"journal\":{\"name\":\"Restaurator. International Journal for the Preservation of Library and Archival Material\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Restaurator. International Journal for the Preservation of Library and Archival Material\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1515/res-2023-0008\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Restaurator. International Journal for the Preservation of Library and Archival Material","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1515/res-2023-0008","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Intelligent Repair Method for Archival Videos Based on the Super-SloMo Technology
Abstract Due to equipment limitations in the early shooting of video files, and the damage and aging in the later file storage process, some historic video materials in video archives can easily suffer from defects such as poor action coherence. This paper proposes an intelligent enhanced repair method of archival videos. The method first obtains the frame rate of the input video, then calculates the dynamic coefficient of the video according to the frame rate and duration number, uses the artificial intelligence algorithm Super-SloMo technology to fix the problematic digital video to the required frame rate, improves the video's dynamic coefficient, and finally achieves the purpose of getting the enhanced repaired digital copies of the original video materials from video archives. This paper also proposes an intelligent enhanced repair prototype system based on the method. The experiment shows that the enhanced repair effect is effective and improves the clarity and coherence of the video. Users get more coherent copies of historic video materials. This solves the problem of the poor perception caused by the loss of frames, preserves the original information, and makes the information obtained from archival videos intuitive.
期刊介绍:
Restaurator is the only international periodical specializing exclusively in the conservation of library and archive materials. Articles examine the many important aspects of this subject area, such as technology, practical experience and organization. They also focus on scientific basics: Many articles deal with the development of new preservation techniques and the improvement and better understanding of established methods. The articles are written in English with summaries in English, French and German. By reading Restaurator regularly, librarians, archivists and restorers can keep up to date with the latest research and developments. The editorial committee is made up of experts from well-known institutions and organizations from all over the world