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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM31136
Volume:
8 |
4 |
Apr 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.
. With the exponential growth of video content across various platforms, the need for efficient video summarization techniques has become increasingly apparent. This paper introduces a novel approach to video summarization through transcript analysis. Traditional video summarization methods often rely on visual features, neglecting the rich textual information available in video transcripts. Our proposed method leverages natural language processing techniques to extract key insights from video transcripts, allowing for the creation of concise and informative summaries.
KEYWORDS
Publication Date
12/31/45844
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.
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