Towards genre-specific frameworks for video summarisation: A survey

Sreeja, M. U.; Kovoor, Binsu C.

doi:10.1016/j.jvcir.2019.06.004

“…An educational film is a medium that conveys learning material through moving visuals, cinematography, or sequenced images [48]. Documentaries, animations, and narrative films deliberately structured for learning objectives are examples of educational films [48,49]. Educational films can be utilized for various purposes, including classroom learning, training, and distance education [50][51][52].…”

Section: Educational Filmsmentioning

confidence: 99%

Developing Lampung Local Wisdom Film of Arabic Communication Skills for Madrasah Tsanawiyah Students

Koderi,

Sufian,

Erlina

2023

IJIET

0

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Lampung Local Wisdom Film development for Arabic can improve students’ low Arabic communication skills. This research aims to develop, validate, analyze user responses, and analyze the effectiveness of Lampung Local Wisdom Film for Arabic Communication Skills. This study uses a mixed-method approach with the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) research and development model. The researchers employed observation, interviews, documentation, questionnaires, and tests as the data collection methods and then analyzed the data with sequential explanatory designs. Material and media experts assessed Lampung Local Wisdom Film and declared the product appropriate for Arabic Communication Skills. Students’ responses showed that the product was highly interesting for learning. The effectiveness test results showed that the value of tobserved was 66.678, which was higher than the tcritical of 2.093. Therefore, the Lampung Local Wisdom Film for Arabic Communication Skills proved feasible, engaging, and effective in learning Arabic.

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“…Whereas Mindek et al [170] summrize multiplayer games of 3D scenes based on game rules. More reviews on different genre video summarization can be found in [153]. Except single input video, there are also practical need of video summary about multiple videos.…”

Section: Video Summarymentioning

confidence: 99%

AI Video Editing: a Survey

Zhang¹,

Li²,

Han³

et al. 2022

Preprint

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Video editing is a high-required job, for it requires skilled artists or workers equipped with plentiful physical strength and multidisciplinary knowledge, such as cinematography, aesthetics. Thus gradually, more and more researches focus on proposing semi-automatical and even fully automatical solutions to reduce workloads. Since those conventional methods are usually designed to follow some simple guidelines, they lack flexibility and capability to learn complex ones. Fortunately, the advances of computer vision and machine learning make up the shortages of traditional approaches and make AI editing feasible. There is no survey to conclude those emerging researches yet. This paper summaries the development history of automatic video editing, and especially the applications of AI in partial and full workflows. We emphasizes video editing and discuss related works from multiple aspects: modality, type of input videos, methology, optimization, dataset, and evaluation metric. Besides, we also summarize the progresses in image editing domain, i.e., style transferring, retargeting, and colorization, and seek for the possibility to transfer those techniques to video domain. Finally, we give a brief conclusion about this survey and explore some open problems.

show abstract

“…Whereas Mindek et al [170] summarize multiplayer games of 3D scenes based on game rules. More reviews on different genre video summarization can be found in [153]. Except for single input video, there is also a practical need for a video summary about multiple videos.…”

Section: Video Summarymentioning

confidence: 99%

AI Video Editing: a Survey

Zhang¹,

Li²,

Han³

et al. 2022

Preprint

View full text Add to dashboard Cite

Video editing is a high-required job, for it requires skilled artists or workers equipped with plentiful physical strength and multidisciplinary knowledge, such as cinematography, aesthetics. Thus gradually, more and more researches focus on proposing semi-automatical and even fully automatical solutions to reduce workloads. Since those conventional methods are usually designed to follow some simple guidelines, they lack flexibility and capability to learn complex ones. Fortunately, the advances of computer vision and machine learning make up the shortages of traditional approaches and make AI editing feasible. There is no survey to conclude those emerging researches yet. This paper summaries the development history of automatic video editing, and especially the applications of AI in partial and full workflows. We emphasizes video editing and discuss related works from multiple aspects: modality, type of input videos, methology, optimization, dataset, and evaluation metric. Besides, we also summarize the progresses in image editing domain, i.e., style transferring, retargeting, and colorization, and seek for the possibility to transfer those techniques to video domain. Finally, we give a brief conclusion about this survey and explore some open problems.

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Towards genre-specific frameworks for video summarisation: A survey

Cited by 31 publications

References 53 publications

Developing Lampung Local Wisdom Film of Arabic Communication Skills for Madrasah Tsanawiyah Students

Developing Lampung Local Wisdom Film of Arabic Communication Skills for Madrasah Tsanawiyah Students

AI Video Editing: a Survey

AI Video Editing: a Survey

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