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Real Time Video Copy Detection using Hadoop
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 162 - Number 9 |
| Year of Publication: 2017 |
| Authors: Abrum Jeysudha, Lavanya Muthukutty, Ashwati Krishnan, Samit Shivadekar |
10.5120/ijca2017913376
|
Abrum Jeysudha, Lavanya Muthukutty, Ashwati Krishnan, Samit Shivadekar . Real Time Video Copy Detection using Hadoop. International Journal of Computer Applications. 162, 9 ( Mar 2017), 42-45. DOI=10.5120/ijca2017913376
Abstract
Due to emerging 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. Video Copy Detection process comes into picture to differentiate between original and duplicate videos. Video Copy Detection basically deals with finding out similarities between the content of two given videos. Hadoop is a distributed platform which makes use of MapReduce programming model. It has two phases i.e. Mapping and Reducing phase. Brightness Sequence algorithm along with TIRI-DCT algorithm is implemented to overcome the problems in the existing system. OCR is used in order to detect the copied videos based on subtitles or any other form of text present in the video. The framegrabber(), which is a JAVA method, is used to convert the videos into multiple frames at different time instincts.
References
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