Create README.md

Author: arjuntheprogrammer

README.md

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+# Content Based Video Retrieval System
+
+## General Introduction
+Lecture videos are becoming ubiquitous medium for e-learning process. E-lecturing has evolved more competent popular lectures. The extent of lecture video data on the
+World Wide Web is increasing fastly. Therefore, a most appropriate method for retrieving video within huge lecture video library is required. The text displayed in a
+lecture video is closely related to the lecture content. Therefore, it provides a valuable source for indexing and retrieving lecture video contents.
+
+## Problem Statement
+In the last decade e-lecturing has become more and more popular. E-lecturing has
+evolved more competent popular lectures. These videos consist of textual information
+on slides as well as in presenter’s speech. The amount of lecture video data on the
+World Wide Web (WWW) is growing rapidly. Therefore, a most appropriate method
+for retrieving video within huge lecture video library is required, a more efficient
+method for video retrieval in WWW or within large lecture video archives is urgently
+needed. The objective of the system is to retrieve a video on the basis of its contents
+rather than retrieving video according to its title and metadata description in order to
+provide an accurate result for the search query.
+
+## Technology Used
+1. FFMPEG - FFmpeg is a free software project that produces libraries and programs for handling multimedia data.
+2. Tesseract - Tesseract is an optical character recognition engine for various operating systems.
+3. OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions
+mainly aimed at real-time computer vision
+4. Django - Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
+
+Note: Please refer the project report for further information.