PV2DOC：将演示视频转换为摘要文档

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-10-11 DOI:10.1016/j.softx.2024.101922

Won-Ryeol Jeong , Seung-Kyu Hong , Hyuk-Yoon Kwon

{"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}

引用次数: 0

摘要

演示视频是一种有效的信息传递方式，但它的缺点是需要花费大量的时间和精力，因为人们需要同时掌握视频中的视觉和听觉信息才能理解它。在本研究中，我们提出了 PV2DOC，它利用演示视频中的视觉和听觉数据将演示视频转换成文档。PV2DOC 利用视觉和听觉信息，使观众能够有效地理解演示视频。该软件通过将非结构化数据转化为结构化格式，简化了演示视频的数据存储并促进了数据分析，因此从信息可访问性和数据管理的角度来看具有巨大的潜力。它为更有效地利用演示视频奠定了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

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.