Video Clone Detector Using Hadoop

Internet has become the most important part in the people's day-to-day life. It is widely used due to abundant resources. This available data are expressed in many forms such as text, pictures, audio, video and so on. Due to interest in videos there are various sites which provides with different kinds of videos, but it is not necessary that every video hold original content. The purpose of video copy detection is to differentiate between original and duplicate videos and find out the similarities between the content of the two videos. This is done with the help of two video copy detection techniques i.e. Frame Fusion based on Path Merging and Query Content Prediction. Due to billions of video present over the internet, it is not possible to perform the video copy detection process on a single machine approach as it is a hectic process. Using distributed computing platform i.e. Hadoop, efficiency would be improved. It is applied to calculate the hash values of a large number of videos and then match them.