Text to Video System Using ML

EasyChair Preprint 12562

Abstract

In recent years, the proliferation of multimedia content on various digital platforms has necessitated efficient methods for transforming textual information into engaging visual presentations. This paper presents an innovative approach to address this need through a Text-to-Video Generation System employing Machine Learning (ML) techniques. The proposed system leverages Natural Language Processing (NLP) algorithms to parse and understand textual input, extracting key concepts and context. Subsequently, through a combination of computer vision, audio processing, and deep learning methods, the system generates corresponding video content that accurately represents the input text.

Keyphrases: AI, CV, NLP, Python, machine learning

@booklet{EasyChair:12562,
  author    = {Siva Kumar Battula and Bilal Khan R Pathan and Burada Sai Chaithresh and Chimakurthi Sai Durga Abhiram},
  title     = {Text to Video System Using ML},
  howpublished = {EasyChair Preprint 12562},
  year      = {EasyChair, 2024}}