@book{58684,
	author = {Muhammad Imran Saeed  and Department of Master of Science in Information Technology},
	title = {Video  Image Detector (A Tool For Finding Similarity in Video Contents)},
	publisher = {QUEST,},
	year = {2016.},
	address = {Nawabshah:},
	note = {ABSTRACT

A softwar fram work presented in this thesis, called Video Image Detector, is a tool that detects the copyright frames  between two different videos. Video piracy is an issue in which  some  channels play unauthorized video files that may be copied and played illegally  on the   channel. This practice disrupts the rules and regulatory laws.  By focusing on these piracy issues, video image detector helps to find out the copyright frames or capture videos which are played illegally on a channel. A number of detecting techniques are proposed in the literature; however, some limitations are still persisting inthis technique.
Hence a solution is recommended in this thesis in which two videos running at different time spot to find out the copyright contents. In this proposed solution, the aim is to find out the copyright frames between videos, and the technique used in this proposed solution is motion detection with back ground subtraction algorithm which is subsequently followed by color intensity and pixel-by-pixel comparisons.
},
	url = {https://tinyurl.com/5n99thdb}
}