A Model for the Automatic Mixing of Multiple Audio and Video Clips

Short-form videos are becoming a trend in today’s social media. A large number of tools provide users with the capability to edit and mix video clips with audio files to create a short-form video. A significant number of such videos currently exist on platforms such as TikTok and Instagram that were...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Hedna, Mohamed Rissal (author)
مؤلفون آخرون: Djemmal, Younes (author), Mershad, Khaleel (author)
التنسيق: conferenceObject
منشور في: 2023
الوصول للمادة أونلاين:http://hdl.handle.net/10725/15396
https://doi.org/10.1109/CW58918.2023.00025
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/10337600
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author Hedna, Mohamed Rissal
author2 Djemmal, Younes
Mershad, Khaleel
author2_role author
author
author_facet Hedna, Mohamed Rissal
Djemmal, Younes
Mershad, Khaleel
author_role author
dc.creator.none.fl_str_mv Hedna, Mohamed Rissal
Djemmal, Younes
Mershad, Khaleel
dc.date.none.fl_str_mv 2023
2023-12-06
2024-03-08T14:40:28Z
2024-03-08T14:40:28Z
dc.identifier.none.fl_str_mv 9798350315660
http://hdl.handle.net/10725/15396
https://doi.org/10.1109/CW58918.2023.00025
Hedna, M. R., Djemmal, Y., & Mershad, K. (2023, October). A Model for the Automatic Mixing of Multiple Audio and Video Clips. In 2023 International Conference on Cyberworlds (CW) (pp. 110-117). IEEE.
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/10337600
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv IEEE
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.title.none.fl_str_mv A Model for the Automatic Mixing of Multiple Audio and Video Clips
dc.type.none.fl_str_mv Conference Paper / Proceeding
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
description Short-form videos are becoming a trend in today’s social media. A large number of tools provide users with the capability to edit and mix video clips with audio files to create a short-form video. A significant number of such videos currently exist on platforms such as TikTok and Instagram that were created by manual cut and mix of video and audio clips. In this paper, we examine the relationship that exists between video scenes and audio clips in order to identify the best mixing strategy of multiple video and audio files. For this purpose, we extract the beats and downbeats of the audio files and augment them with the scene changes in the video files. Next, we use the data to train two LSTM and RNN models to determine the best places to cut the video based on the audio data. Our system enables users to automatically create high-quality short-form videos by simply specifying the video clips and the audio file that should be mixed with them. We conducted experiments on 200 short-form videos. Our results illustrate the efficiency of the proposed system in determining the optimal cut scenes based on the characteristics of the selected audio file.
eu_rights_str_mv openAccess
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identifier_str_mv 9798350315660
Hedna, M. R., Djemmal, Y., & Mershad, K. (2023, October). A Model for the Automatic Mixing of Multiple Audio and Video Clips. In 2023 International Conference on Cyberworlds (CW) (pp. 110-117). IEEE.
language_invalid_str_mv en
network_acronym_str LAURepo
network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/15396
publishDate 2023
publisher.none.fl_str_mv IEEE
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spelling A Model for the Automatic Mixing of Multiple Audio and Video ClipsHedna, Mohamed RissalDjemmal, YounesMershad, KhaleelShort-form videos are becoming a trend in today’s social media. A large number of tools provide users with the capability to edit and mix video clips with audio files to create a short-form video. A significant number of such videos currently exist on platforms such as TikTok and Instagram that were created by manual cut and mix of video and audio clips. In this paper, we examine the relationship that exists between video scenes and audio clips in order to identify the best mixing strategy of multiple video and audio files. For this purpose, we extract the beats and downbeats of the audio files and augment them with the scene changes in the video files. Next, we use the data to train two LSTM and RNN models to determine the best places to cut the video based on the audio data. Our system enables users to automatically create high-quality short-form videos by simply specifying the video clips and the audio file that should be mixed with them. We conducted experiments on 200 short-form videos. Our results illustrate the efficiency of the proposed system in determining the optimal cut scenes based on the characteristics of the selected audio file.Includes bibliographical references.IEEE2024-03-08T14:40:28Z2024-03-08T14:40:28Z20232023-12-06Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject9798350315660http://hdl.handle.net/10725/15396https://doi.org/10.1109/CW58918.2023.00025Hedna, M. R., Djemmal, Y., & Mershad, K. (2023, October). A Model for the Automatic Mixing of Multiple Audio and Video Clips. In 2023 International Conference on Cyberworlds (CW) (pp. 110-117). IEEE.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://ieeexplore.ieee.org/abstract/document/10337600eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/153962024-07-03T08:17:06Z
spellingShingle A Model for the Automatic Mixing of Multiple Audio and Video Clips
Hedna, Mohamed Rissal
status_str publishedVersion
title A Model for the Automatic Mixing of Multiple Audio and Video Clips
title_full A Model for the Automatic Mixing of Multiple Audio and Video Clips
title_fullStr A Model for the Automatic Mixing of Multiple Audio and Video Clips
title_full_unstemmed A Model for the Automatic Mixing of Multiple Audio and Video Clips
title_short A Model for the Automatic Mixing of Multiple Audio and Video Clips
title_sort A Model for the Automatic Mixing of Multiple Audio and Video Clips
url http://hdl.handle.net/10725/15396
https://doi.org/10.1109/CW58918.2023.00025
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/10337600