UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 1
January-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2201255


Registration ID:
319280

Page Number

c383-c393

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Title

Automatic Textual Summary Generation Mechanism Using Machine Learning

Abstract

In recent years, much work has been performed to summarize meeting recordings, sport videos, movies, pictorial storylines and social multimedia. Automatic text summarization is an essential natural language processing (NLP) application that goals to summarize a given textual content into a shorter model. The fast growth in multimedia information transmission over the Internet demands multi-modal summarization (MMS) from asynchronous combination of text, image, audio and video. This paper represents an MMS framework that utilizes the techniques of NLP, speech processing and OCR watermarking technique to examine the elaborative information contained in multi-modal statistics and to enhance the aspects of multimedia news summarization. The basic concept is to bridge the semantic gaps among multi-modal content. For audio scheme, convert the audio signals into textual format. For visual scheme, extracts text from images using OCR technique. After, the generated summary for important visual information through content-picture matching or multi-modal topic modeling. Finally, all the multi-modal factors are considered to generate a textual summary by maximizing the importance, non-redundancy, credibility and scope through the allocated accumulation of submodular features. The contribution work is to identify theme of visual scheme. The experimental result shows that Multi-Modal Summarization framework outperforms other competitive techniques.

Key Words

Summarization, Multimedia, Multi-Modal, Cross-Modal, Natural Language Processing, Computer Vision, OCR Technique

Cite This Article

"Automatic Textual Summary Generation Mechanism Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.c383-c393, January-2022, Available :http://www.jetir.org/papers/JETIR2201255.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Automatic Textual Summary Generation Mechanism Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppc383-c393, January-2022, Available at : http://www.jetir.org/papers/JETIR2201255.pdf

Publication Details

Published Paper ID: JETIR2201255
Registration ID: 319280
Published In: Volume 9 | Issue 1 | Year January-2022
DOI (Digital Object Identifier):
Page No: c383-c393
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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