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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM28302
Volume:
8 |
1 |
Jan 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the modern world, a significant amount of videos with information are uploaded every day. Selecting the appropriate video and comprehending the proper content. Despite the abundance of videos available, some of them will contain pointless material, and even if there is flawless content, it should still be needed of us. If the correct one is not located, all of your time and effort will be wasted trying to extract the useful information. We offer a novel concept that makes use of NLP. This gives consumers the ability to distinguish between pertinent and irrelevant information based on their needs by providing the video’s key material in text description and abstractive summary. Additionally, our tests demonstrate that the joint model can provide high-quality, succinct, and understandable multi-line video summaries and descriptions in a human evaluation text extraction through processing and text summarization through BERT summarization.
KEYWORDS
Publication Date
12/31/45313
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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