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Real Time Video Copy Detection using Hadoop

by Abrum Jeysudha, Lavanya Muthukutty, Ashwati Krishnan, Samit Shivadekar
journal cover thumbnail

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

@article{ 10.5120/ijca2017913376,
author = { Abrum Jeysudha, Lavanya Muthukutty, Ashwati Krishnan, Samit Shivadekar },
title = { Real Time Video Copy Detection using Hadoop },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 162 },
number = { 9 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 42-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume162/number9/27275-2017913376/ },
doi = { 10.5120/ijca2017913376 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:08:36.375515+05:30
%A Abrum Jeysudha
%A Lavanya Muthukutty
%A Ashwati Krishnan
%A Samit Shivadekar
%T Real Time Video Copy Detection using Hadoop
%J International Journal of Computer Applications
%@ 0975-8887
%V 162
%N 9
%P 42-45
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
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
  1. Jing Li, Xuquan Lian, Qiang Wu and Jiande Sun “Real-time Video Copy Detection Based on Hadoop,” Sixth International Conference on Information Science and Technology Dalian, China; May 6-8, 2016.
  2. Chih-Yi Chiu, Cheng-Chih Yang and Chu-Song Chen “Efficient and Effective Video Copy Detection Based on Spatiotemporal Analysis,” Ninth IEEE International Symposium on Multimedia 2007.
  3. Mani Malek Esmaeili, Mehrdad Fatourechi, and Rabab Kreidieh Ward “A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting,” IEEE Transactions on Information Forensics and Security, VOL. 6, NO. 1, March 2011.
  4. Datong Chen*, Jean-Marc Odobez and Herv/e Bourlard “Text detection and recognition in images and video frames,” D. Chen et al. / Pattern Recognition 37 (2004) 595 – 608.
  5. Shikui Wei, Yao Zhao, Ce Zhu, Changsheng Xu and Zhenfeng Zhu “Frame Fusion for Video Copy Detection,” IEEE Transactions on Circuit and System for Video Technology, VOL. 21, NO. 1, January 2011.
  6. Nan Nan and Guizhong Liu “Video Copy Detection Based on Path Merging and Query Content Prediction,” IEEE Transactions on Circuit and System for Video Technology, VOL. 25, NO. 10, October 2015.
  7. Suman Elizabeth Daniel and Binu A “An Exploration based on Multifarious Video Copy Detection Strategies,” Proc. of Int. Conf. on Advances in Recent Technologies in Communication and Computing.
  8. Lezi Wang, Yuan Dong, Hongliang Bai, Jiwei Zhang , Chong Huang and Wei Liu “Contended-based large scale Web Audio Copy Detection,” 2012 IEEE International Conference on Multimedia and Expo.
Index Terms

Computer Science
Information Sciences

Keywords

Video copy TIRI-DCT Brightness sequence OCR training video querying video Hadoop MapReduce hash plagiarism HDFS FFMPEG frames copied video.

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