AI Driven Video Query System
Journal: International Journal of Scientific Engineering and Science (Vol.8, No. 2)Publication Date: 2024-02-15
Authors : V. R. J. Sastry Eemani; Chintala Chitra Dhana Sri; Kudupudi Vamsi Vijay; Shaik Harshiya Thabasum; Gotam Purna Sai Pradeep; Pandranki Lakshmi Venkata Sai Manikanta;
Page : 60-64
Keywords : ;
Abstract
— The Real-Time Video Understanding and Querying System proposes a solution to the burgeoning volume of digital video content by creating a system that analyzes videos in real-time. Key features include a dynamic Language Model (LLM) that adapts to each video's content instantly, efficient video processing through computer vision, and a user-friendly interface for natural language queries. The technical architecture involves a data processing pipeline, dynamic LLM, NLP module, real-time training, and an inference engine. The minimalistic user interface allows video uploads, query inputs, and real-time response displays. Challenges like data privacy and model efficiency are addressed, and potential applications span education, content creation, market research, customer support, healthcare, security, news media, corporate training, legal analysis, and entertainment
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Last modified: 2024-04-22 21:56:08