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Text-to-video conversion is a conversion technique that bridges the gap between text and visual representation and enables the creation of dynamic multimedia content from text input only. This article provides a comprehensive overview of text-to-video conversion systems, exploring the various technologies, applications, and challenges associated with this emerging field. We cover techniques such as natural language processing (NLP), computer vision, and deep learning that form the backbone of text-to-video conversion algorithms. In addition, we analyze a wide range of applications from content creation, video summarization, educational materials to assistive technologies. In addition, we highlight the most important challenges, such as data scarcity, interpretability of models and ethical aspects, which must be considered for the promotion and responsible deployment of text-to-video converters.
Keywords:
Text-to-video, dynamic, multimedia, Personal recommendations, NLP, Algorithms, Computer Vision, Deep Learning, User interface design, content creation, video summarization, educational materials, data scarcity, interpretability of models, data analysis.
Cite Article:
"Text To Video Converter ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.228 - 233, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404030.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator