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Multilingual Video Summarization using NLP and Machine Learning

Dr. P. Rajeshwari1, B. Manisha2, R. Sandhya3, Y. Vivek Reddy4

1CSE Department & ACE Engineering College

2CSE Department & ACE Engineering College

3CSE Department & ACE Engineering College

4CSE Department & ACE Engineering College

Abstract - Multilingual video summarization combines characteristic dialect handling (NLP) and machine learning to condense video substance into brief outlines over different dialects. This consider proposes a novel system leveraging robotized transcript extraction and summarization pipelines to create an English rundown, encourage deciphered into French, Spanish, and German. Utilizing progressed NLP models like Embracing Confront Transformers and YouTube Transcript API, our strategy productively forms recordings to create high-quality, important outlines within the target dialects. Comes about highlight the exactness and relevant pertinence of the interpretations, illustrating the system's potential in multilingual openness. The discoveries contribute to bridging etymological obstructions in video substance understanding and open roads for upgrading worldwide substance openness.

Key Words:  video summarization, multilingual translation, NLP techniques.