A cryptographic approach to video watermarking based on compressive sensing, arnold transform, sum of absolute deviation and SVD
Video watermarking is relatively a new technology to ensure protection of intellectual property rights and to stop video piracy. The ownership information or watermark is normally hidden in the video sequences. In this paper, a novel video watermarking method is proposed to protect the ownership inf...
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| creator | Jyothish, Lal G. Veena, V. K. Soman, K. P. |
| description | Video watermarking is relatively a new technology to ensure protection of intellectual property rights and to stop video piracy. The ownership information or watermark is normally hidden in the video sequences. In this paper, a novel video watermarking method is proposed to protect the ownership information in a robust way. This method encrypts the watermark by combining the strengths of Compressive Sensing and Arnold scrambling. The frames for watermark embedding are chosen by computing the Sum of Absolute Deviation between successive frames. The cipher watermark is then embedded into chosen frames based on SVD watermark embedding algorithm. The decryption stage performs SVD watermark extraction algorithm, Arnold inverse transform and L 1 optimization for retrieval of watermark. Experimental results show that proposed method enhances the security of the ownership information embedded. |
| doi_str_mv | 10.1109/AICERA-ICMiCR.2013.6575985 |
| format | Conference Proceeding |
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K.</creatorcontrib><creatorcontrib>Soman, K. P.</creatorcontrib><title>A cryptographic approach to video watermarking based on compressive sensing, arnold transform, sum of absolute deviation and SVD</title><title>2013 Annual International Conference on Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy</title><addtitle>AICERA-ICMiCR</addtitle><description>Video watermarking is relatively a new technology to ensure protection of intellectual property rights and to stop video piracy. The ownership information or watermark is normally hidden in the video sequences. In this paper, a novel video watermarking method is proposed to protect the ownership information in a robust way. This method encrypts the watermark by combining the strengths of Compressive Sensing and Arnold scrambling. The frames for watermark embedding are chosen by computing the Sum of Absolute Deviation between successive frames. The cipher watermark is then embedded into chosen frames based on SVD watermark embedding algorithm. The decryption stage performs SVD watermark extraction algorithm, Arnold inverse transform and L 1 optimization for retrieval of watermark. Experimental results show that proposed method enhances the security of the ownership information embedded.</description><subject>Arnold scrambling Method</subject><subject>Ciphers</subject><subject>Compressed sensing</subject><subject>Compressive Sensing (CS)</subject><subject>Cryptography</subject><subject>Encryption</subject><subject>Receivers</subject><subject>Sum of Absolute Deviation (SAD)</subject><subject>SVD based watermarking</subject><subject>Transforms</subject><subject>Watermarking</subject><isbn>1467351504</isbn><isbn>9781467351508</isbn><isbn>9781467351485</isbn><isbn>1467351490</isbn><isbn>9781467351492</isbn><isbn>1467351482</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkE1Lw0AURUdEUGt_gZuH67bOZDKTZBli1UJFqB_b8pJ5aUebTJhJK9350w3Y1eVw4cC9jN0JPhOCZ_f5opiv8umieLHFahZxIWdaJSpL1RkbZ0kqYp1IJeJUnbPrEygeX7JxCF-c80GiM5lesd8cKn_serfx2G1tBdh13mG1hd7BwRpy8IM9-Qb9t203UGIgA66FyjWdpxDsgSBQG4ZyAuhbtzPQe2xD7XwzgbBvwNWAZXC7fU9g6GCxt4MAWwNvnw837KLGXaDxKUfs43H-XjxPl69PiyJfTq1IVD-lWmFllFR1quNIaJ2VhGWkpKhVpFWZRqSzOBG11nWiCU2qpdEVUskjLrWRI3b777VEtO68HRYd16fT5B-BqmUT</recordid><startdate>201306</startdate><enddate>201306</enddate><creator>Jyothish, Lal G.</creator><creator>Veena, V. 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P.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jyothish, Lal G.</au><au>Veena, V. K.</au><au>Soman, K. P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A cryptographic approach to video watermarking based on compressive sensing, arnold transform, sum of absolute deviation and SVD</atitle><btitle>2013 Annual International Conference on Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy</btitle><stitle>AICERA-ICMiCR</stitle><date>2013-06</date><risdate>2013</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><isbn>1467351504</isbn><isbn>9781467351508</isbn><eisbn>9781467351485</eisbn><eisbn>1467351490</eisbn><eisbn>9781467351492</eisbn><eisbn>1467351482</eisbn><abstract>Video watermarking is relatively a new technology to ensure protection of intellectual property rights and to stop video piracy. The ownership information or watermark is normally hidden in the video sequences. In this paper, a novel video watermarking method is proposed to protect the ownership information in a robust way. This method encrypts the watermark by combining the strengths of Compressive Sensing and Arnold scrambling. The frames for watermark embedding are chosen by computing the Sum of Absolute Deviation between successive frames. The cipher watermark is then embedded into chosen frames based on SVD watermark embedding algorithm. The decryption stage performs SVD watermark extraction algorithm, Arnold inverse transform and L 1 optimization for retrieval of watermark. Experimental results show that proposed method enhances the security of the ownership information embedded.</abstract><pub>IEEE</pub><doi>10.1109/AICERA-ICMiCR.2013.6575985</doi><tpages>5</tpages></addata></record> |
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| identifier | ISBN: 1467351504 |
| ispartof | 2013 Annual International Conference on Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy, 2013, p.1-5 |
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| language | eng |
| recordid | cdi_ieee_primary_6575985 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Arnold scrambling Method Ciphers Compressed sensing Compressive Sensing (CS) Cryptography Encryption Receivers Sum of Absolute Deviation (SAD) SVD based watermarking Transforms Watermarking |
| title | A cryptographic approach to video watermarking based on compressive sensing, arnold transform, sum of absolute deviation and SVD |
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