000			01500nam a22001337a 4500
999			_c58684 _d58681
100			_aMuhammad Imran Saeed _a10MSIT05 _aSupervisor - Dr. Umair Ali Khan
245			_aVideo Image Detector (A Tool For Finding Similarity in Video Contents)
260			_aNawabshah: _bQUEST, _c2016.
300			_a48p.
500			_aABSTRACT 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.
700			_aDepartment of Master of Science in Information Technology
856			_uhttps://tinyurl.com/5n99thdb
942			_cTHESIS