AUTOMATIC VIDEO SUMMARIZATION

Preeti Vishnu Chandgude , Gayatri Kailas Solanke , Ankita Sudhakar Avhad , Priyanka Ashok Sanap

text summarization, video summarization, Latent Semantic Analysis

The primary goal of this system is to propose an improved method for summarising videos in order to present important and concise information to end users. In video, description and keywords are important factors in deciding which video to watch. The proposed method’s main idea is to generate video descriptions automatically. Our approach is critical in reducing the time spent searching for the right video. It aims to save users’ time spent watching unwanted videos by utilising timestamps. One of our approach’s primary goals is actual keyword extraction. Extracted keywords aid in the discovery of videos containing significant video keywords.Frames, emotions, and speech are used to summarise the video. First, the video content is displayed in the frame, followed by a summary of the video content. Second, emotion and how it changes over time are combined with the outputted frame summarization. Third, audio transcription into text takes place, producing an abstractive summary of the audio track. Finally, using natural language processing techniques, the fusion of all summarizations (audio, video, emotion) occurs.

Published Paper   E-Certificate

"AUTOMATIC VIDEO SUMMARIZATION ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1507 - 1509, May-2023, Available :https://ijsdr.org/papers/IJSDR2305236.pdf

Volume 8 Issue 5, May-2023

Pages : 1507 - 1509

Paper Reg. ID: IJSDR_206689

Published Paper Id: IJSDR2305236

Downloads: 000347252

Research Area: Engineering

Country: -, --, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2305236

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2305236

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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