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Title: :  AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKS
PaperId: :  26148
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26148
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
T SUNDARARAJULUSiddharth Institute of Engineering & Technology (SIETK)
PETA MOHITHSiddharth Institute of Engineering & Technology (SIETK)
P POOJITHASiddharth Institute of Engineering & Technology (SIETK)
T S VAMSISiddharth Institute of Engineering & Technology (SIETK)
K A BALAJISiddharth Institute of Engineering & Technology (SIETK)
M S SANJAISiddharth Institute of Engineering & Technology (SIETK)

Abstract

Information Technology
Video Summarization, Machine Learning, Deep Learning, LSTM Networks, Text Translation, Indian Regional Languages, Accessibility, Information Dissemination, Multilingual Support, Natural Language Processing.
Video summarization is a process that condenses lengthy videos into shorter, more concise versions, retaining the most important content. It involves selecting key frames, segments, or extracting textual transcripts to create a coherent summary. These summaries serve as a timesaving way to access essential information from videos, making it easier for users to quickly understand the video's content without watching it in its entirety. Machine learning plays a pivotal role in video summarization. Algorithms, particularly deep learning models like Long Short-Term Memory (LSTM) networks, are employed to automatically identify significant moments within a video. Machine learning models analyze visual and audio cues, speaker sentiment, and transcript text to determine the most relevant segments. These segments are then stitched together to form a comprehensive and coherent summary, making video summarization an efficient and accessible means to extract valuable insights from videos, all driven by intelligent algorithms and neural networks. In addition to video summarization, another critical aspect of this project is the translation of English text into various Indian regional languages, including Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, and Malayalam. To facilitate this translation process, we utilized Google Translate, which provides a robust framework for converting English text into these languages accurately. Google Translate has limits on the amount of text you can send for translation. If your summary becomes too long, the Google Translate may fail to process it, which explains why it works for shorter videos but fails for longer ones. This component of the project aims to make video content more accessible to a broader audience by providing summaries in native languages. By integrating translation capabilities, users can engage with the summarized content in their preferred language, enhancing comprehension and ensuring that linguistic barriers do not hinder access to important information. The choice of languages reflects the linguistic diversity of India, allowing speakers of different regional languages to benefit from the video content seamlessly. By leveraging machine translation tools, the project not only emphasizes the importance of summarization but also highlights the need for inclusivity in information dissemination across linguistic divides.

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IJARIIE T SUNDARARAJULU, PETA MOHITH, P POOJITHA, T S VAMSI, K A BALAJI, and M S SANJAI. "AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKS" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 1465-1474
MLA T SUNDARARAJULU, PETA MOHITH, P POOJITHA, T S VAMSI, K A BALAJI, and M S SANJAI. "AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 1465-1474.
APA T SUNDARARAJULU, PETA MOHITH, P POOJITHA, T S VAMSI, K A BALAJI, & M S SANJAI. (2025). AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKS. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 1465-1474.
Chicago T SUNDARARAJULU, PETA MOHITH, P POOJITHA, T S VAMSI, K A BALAJI, and M S SANJAI. "AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 1465-1474.
Oxford T SUNDARARAJULU, PETA MOHITH, P POOJITHA, T S VAMSI, K A BALAJI, and M S SANJAI. 'AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 1465-1474. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/AUTOMATED_VIDEO_TEXT_EXTRACTION_AND_SUMMARIZATION_SYSTEM_USING_LSTM_NETWORKS_ijariie26148.pdf (Accessed : ).
Harvard T SUNDARARAJULU, PETA MOHITH, P POOJITHA, T S VAMSI, K A BALAJI, and M S SANJAI. (2025) 'AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKS', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 1465-1474IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/AUTOMATED_VIDEO_TEXT_EXTRACTION_AND_SUMMARIZATION_SYSTEM_USING_LSTM_NETWORKS_ijariie26148.pdf (Accessed : )
IEEE T SUNDARARAJULU, PETA MOHITH, P POOJITHA, T S VAMSI, K A BALAJI, and M S SANJAI, "AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 1465-1474, Mar-App 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/AUTOMATED_VIDEO_TEXT_EXTRACTION_AND_SUMMARIZATION_SYSTEM_USING_LSTM_NETWORKS_ijariie26148.pdf [Accessed : ].
Turabian T SUNDARARAJULU, PETA MOHITH, P POOJITHA, T S VAMSI, K A BALAJI, and M S SANJAI. "AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver T SUNDARARAJULU, PETA MOHITH, P POOJITHA, T S VAMSI, K A BALAJI, and M S SANJAI. AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 1465-1474. Available from: http://ijariie.com/AdminUploadPdf/AUTOMATED_VIDEO_TEXT_EXTRACTION_AND_SUMMARIZATION_SYSTEM_USING_LSTM_NETWORKS_ijariie26148.pdf
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