PV2DOC: Converting the presentation video into the summarized document

Won Ryeol Jeong; Seung Kyu Hong; Hyuk Yoon Kwon

doi:10.1016/j.softx.2024.101922

PV2DOC: Converting the presentation video into the summarized document

Won Ryeol Jeong, Seung Kyu Hong, Hyuk Yoon Kwon

Dept. of Industrial Engineering

Seoul National University of Science and Technology (SNUST)

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Article number	101922
Journal	SoftwareX
Volume	28
DOIs	https://doi.org/10.1016/j.softx.2024.101922
State	Published - Dec 2024

Keywords

Audio data
Image data
Optical character recognition
Presentation video
Summarization

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10.1016/j.softx.2024.101922

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abstract = "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.",

keywords = "Audio data, Image data, Optical character recognition, Presentation video, Summarization",

author = "Jeong, \{Won Ryeol\} and Hong, \{Seung Kyu\} and Kwon, \{Hyuk Yoon\}",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors",

year = "2024",

month = dec,

doi = "10.1016/j.softx.2024.101922",

language = "English",

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N2 - 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.

AB - 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.

KW - Audio data

KW - Image data

KW - Optical character recognition

KW - Presentation video

KW - Summarization

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ER -

PV2DOC: Converting the presentation video into the summarized document

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Keywords

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