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Sabha, Ambreen. Computational intelligence paradigms for audio-based video summarization. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Computational intelligence paradigms for audio-based video summarization
Name: Kalsi, Akhil
Organization :
Central University of Jammu. Department of Computer Science and Information Technology
Email :
akhil47kalsi@gmail.com
Name: Selwal, Arvind
Organization :
Central University of Jammu. Department of Computer Science and Information Technology
Email :
arvind.csit@cujammu.ac.in
Name: Sabha, Ambreen
Organization :
Central University of Jammu. Department of Computer Science and Information Technology
Email :
ambreensabha45@gmail.com
keyword:
Video summarization
LCSH:
Artificial intelligence
LCSH:
Machine learning
Abstract:
The exponential growth in video content
generated via multiple sources has led to the
development of video summarization mechanisms,
where smaller summaries are generated from
comparatively longer videos. Video summarization
plays a significant role in a diverse range of
applications including secured surveillance,
biometrics, education, sports, news, movies, etc.
Several criteria are used for video summarization
based on certain events or objects present in the input
video for generating respective small summaries.
However, audio is a key parameter that may be used
to obtain a small summary of a video where some
sound or voice is noticed. This article aims to expound
on an analysis of audio-based video summarization
(ABVS) via data-driven techniques such as a machine
or deep learning. We also present a novel framework
for ABVS using handcrafted or automatic feature
engineering. An evaluation methodology including
performance metrics and datasets for assessing the
effectiveness of various ABVS approaches is also
illustrated. The study reveals several key issues related
to ABVS that need further investigation from the
active researchers in this active field. One of the
critical issues involves exploring effective audio
features and the scarcity of benchmark datasets for an
audio-based summary generation
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2024-05-24
Issued:
2024-05-24
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT 2022) (pp.590-595). Los Alamitos, CA : IEEE Computer Society
eng
©copyrights King Mongkut's University of Technology North Bangkok
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0.035166 วินาที
Kalsi, Akhil
| Title | Contributor | Type |
|---|---|---|
| Computational intelligence paradigms for audio-based video summarization
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kalsi, Akhil;Selwal, Arvind;Sabha, Ambreen | บทความ/Article |
Selwal, Arvind
| Title | Contributor | Type |
|---|---|---|
| Computational intelligence paradigms for audio-based video summarization
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kalsi, Akhil;Selwal, Arvind;Sabha, Ambreen | บทความ/Article | |
| Fingerprint spoofing attacks and their deep learning-enabled remediation : state-of-the-art, taxonomy, and future directions
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Ishfaq, Rutbaa;Selwal, Arvind;Sharma, Deepika | บทความ/Article | |
| SAPS : automatic saffron adulteration prediction systems, research issues, and prospective solutions
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Amin, Junaid;Selwal, Arvind;Sabha, Ambreen | บทความ/Article | |
| FinCaT : fingerprint cancellable template protection remediation schemes, challenges, and future directions
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Sabha, Ambreen
| Title | Contributor | Type |
|---|---|---|
| Computational intelligence paradigms for audio-based video summarization
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kalsi, Akhil;Selwal, Arvind;Sabha, Ambreen | บทความ/Article | |
| SAPS : automatic saffron adulteration prediction systems, research issues, and prospective solutions
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Amin, Junaid;Selwal, Arvind;Sabha, Ambreen | บทความ/Article |