{"title":"PV2DOC：将演示视频转换为摘要文档","authors":"Won-Ryeol Jeong , Seung-Kyu Hong , Hyuk-Yoon Kwon","doi":"10.1016/j.softx.2024.101922","DOIUrl":null,"url":null,"abstract":"<div><div>The presentation video is an effective way to convey information, but it has the disadvantage of requiring a lot of time and effort to consume, as one needs to grasp both the visual and auditory information in the video to understand it. In this study, we propose PV2DOC, which transforms presentation videos into a document using the visual and audio data from the presentation video. PV2DOC utilizes both visual and auditory information to enable viewers to understand the presentation video effectively. This software simplifies data storage and facilitates data analysis for presentation videos by transforming unstructured data into a structured format, thus offering significant potential from the perspectives of information accessibility and data management. It provides a foundation for more efficient utilization of presentation videos.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101922"},"PeriodicalIF":2.4000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PV2DOC: Converting the presentation video into the summarized document\",\"authors\":\"Won-Ryeol Jeong , Seung-Kyu Hong , Hyuk-Yoon Kwon\",\"doi\":\"10.1016/j.softx.2024.101922\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The presentation video is an effective way to convey information, but it has the disadvantage of requiring a lot of time and effort to consume, as one needs to grasp both the visual and auditory information in the video to understand it. In this study, we propose PV2DOC, which transforms presentation videos into a document using the visual and audio data from the presentation video. PV2DOC utilizes both visual and auditory information to enable viewers to understand the presentation video effectively. This software simplifies data storage and facilitates data analysis for presentation videos by transforming unstructured data into a structured format, thus offering significant potential from the perspectives of information accessibility and data management. It provides a foundation for more efficient utilization of presentation videos.</div></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"28 \",\"pages\":\"Article 101922\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711024002929\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024002929","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
PV2DOC: Converting the presentation video into the summarized document
The presentation video is an effective way to convey information, but it has the disadvantage of requiring a lot of time and effort to consume, as one needs to grasp both the visual and auditory information in the video to understand it. In this study, we propose PV2DOC, which transforms presentation videos into a document using the visual and audio data from the presentation video. PV2DOC utilizes both visual and auditory information to enable viewers to understand the presentation video effectively. This software simplifies data storage and facilitates data analysis for presentation videos by transforming unstructured data into a structured format, thus offering significant potential from the perspectives of information accessibility and data management. It provides a foundation for more efficient utilization of presentation videos.
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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