01724nam a22001577a 4500999001700000100006900017245007600086260003000162300000900192500105500201700006201256856003301318942001101351952010201362952010201464  c58684d58681  aMuhammad Imran Saeed a10MSIT05aSupervisor - Dr. Umair Ali Khan  aVideo  Image Detector (A Tool For Finding Similarity in Video Contents)  aNawabshah:bQUEST,c2016.  a48p.  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.
  aDepartment of Master of Science in Information Technology  uhttps://tinyurl.com/5n99thdb  cTHESIS  00104070aRESEARCHbRESEARCHd2018-05-17l0pMP/10-101r2018-05-17 00:00:00w2018-05-17yTHESIS  00104070aRESEARCHbRESEARCHd2018-10-02l0pMP/27-310r2018-10-02 00:00:00w2018-10-02yTHESIS