Piracy Detection of Video Contents by Signature Matching Method
Aishwarya. M. Chavan, , , ,
Affiliations Dept. of Computer Science and Engineering, DKTE‘s TEI (An Autonomous Institute), Ichalkaranji, India
Security has become the primary concern to protect the critical and sensitive information such as multimedia. A problem faced by nowadays is that multimedia contents are getting pirated on a large scale. These contents need to be protected from getting duplicated. The primary goal is to detect the duplication of both 2D and 3D video contents. Essential components in identifying the piracy are the generation of unique signatures and a matching engine to match them. The system detects pirated multimedia contents.
Aishwarya. M. Chavan (2018). Piracy Detection of Video Contents by Signature Matching Method. International Journal of Computer Engineering In Research Trends, 5(7), 202-206. Retrieved from http://ijcert.org/ems/ijcert_papers/V5I701.pdf
Keywords : 3D SBS, SUFR, video signatures, KD Tree.
 J. Lu. Video signatures for copy identification: From research to industry applications. In IS&T/SPIE Electronic Imaging, volume 7254 of SPIE Proceedings, pages 725402–725402. International Society for Optics and Photonics, SPIE, 2009.
 S. Ioffe. Full-length video signature. Google Inc., July 24 2012. US Patent 8229219.
 E. Metois, M. Shull, and J. Wolosewicz. Detecting online abuse in images. Markmonitor Inc., Apr. 12 2011. US Patent7925044.
 J. Law-To, O. Buisson, V. Gouet-Brunet, and N. Boujemaa. Robust voting algorithm based on labels of behaviour for video copy detection. In ACM Multimedia, 2006.
 W. L. Zhao, C.-W. Ngo, H.-K. Tan, and X. Wu. Near-duplicate keyframe identification with interest point matching and pattern learning. Multimedia, IEEE Trans. on, 2007.
 A. Joly, O. Buisson, and C. Frelicot. Content-based copy retrieval using distortion-based probabilistic similarity search. Multimedia, IEEE Transactions on, 2007.
 E. Maani, S. Tsaftaris, and A. Katsaggelos. Local feature extraction for video copy detection in a database. In ICIP, 2008.
 M. Douze, H. Jegou, and C. Schmid. An image-based approach to video copy detection with spatio-temporal postfiltering. Multimedia, IEEE Transactions on, 2010.
 J. Song, Y. Yang, Z. Huang, H. T. Shen, and R. Hong. Multiple feature hashing for real-time large scale near-duplicate video retrieval. In ACM Multimedia, 2011.
 J. M. Barrios, B. Bustos, and X. Anguera. Combining features at search time: Prisma at video copy detection task. In Proc. TRECVID, 2011.
 M. Jiang, S. Fang, Y. Tian, T. Huang, and W. Gao. Pkuidm @ trecvid 2011 cbcd: Content-based copy detection with cascade of multimodal features and temporal pyramid matching. In Proc. TRECVID, 2011.
 Mohamed Hefeeda, Senior Member, IEEE, Tarek ElGamal, Kiana Calagari, and Ahmed Abdelsadek Cloud-based Multimedia Content Protection System IEEE Transactions on Multimedia,2015.