@article{
 title = {FPGA prototyping of video watermarking for ownership verification based on H.264/AVC},
 type = {article},
 year = {2016},
 keywords = {Bit plane slicing,Digital watermarking,FPGA,H.264,Integer DCT,Scene change detection},
 volume = {75},
 id = {bedbfe36-3ad6-3f0a-9c16-667a24b6e7da},
 created = {2018-09-06T11:22:40.148Z},
 file_attached = {false},
 profile_id = {11ae403c-c558-3358-87f9-dadc957bb57d},
 last_modified = {2018-09-06T11:22:40.148Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {© 2015, Springer Science+Business Media New York. Digital video watermarking has drawn the attention towards authentication and proof of ownership. Uncompressed domain watermarking has flourished over the years and related algorithms have been implemented on the software platform. Software watermarking algorithms work offline where videos are captured through device and embedding algorithms run on a PC that is used to embed the watermark in the original video content. It doesn’t suffice real time requirements because of the delay that takes place between capturing and embedding the watermark. This delay involvement is more prone to attacks. Thus, it is essential to develop the system where the watermark gets embedded at the same time when video is being captured. In this paper, an efficient watermark embedding process has been portrayed which is suited to H.264/AVC standard. The proposed algorithm introduces the concept of scene change detection based on Integer Discrete Cosine Transform (Integer-DCT) using scene change detection. The different frames of a scene are embedded with different bit planes of the same watermark in order to improve the performance against temporal attacks. The algorithm is validated on the MATLAB platform and is prototyped on FPGA to show its feasibility for real-time application.},
 bibtype = {article},
 author = {Joshi, A.M. and Mishra, V. and Patrikar, R.M.},
 doi = {10.1007/s11042-014-2426-z},
 journal = {Multimedia Tools and Applications},
 number = {6}
}

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Uncompressed domain watermarking has flourished over the years and related algorithms have been implemented on the software platform. Software watermarking algorithms work offline where videos are captured through device and embedding algorithms run on a PC that is used to embed the watermark in the original video content. It doesn’t suffice real time requirements because of the delay that takes place between capturing and embedding the watermark. This delay involvement is more prone to attacks. Thus, it is essential to develop the system where the watermark gets embedded at the same time when video is being captured. In this paper, an efficient watermark embedding process has been portrayed which is suited to H.264/AVC standard. The proposed algorithm introduces the concept of scene change detection based on Integer Discrete Cosine Transform (Integer-DCT) using scene change detection. The different frames of a scene are embedded with different bit planes of the same watermark in order to improve the performance against temporal attacks. The algorithm is validated on the MATLAB platform and is prototyped on FPGA to show its feasibility for real-time application.","bibtype":"article","author":"Joshi, A.M. and Mishra, V. and Patrikar, R.M.","doi":"10.1007/s11042-014-2426-z","journal":"Multimedia Tools and Applications","number":"6","bibtex":"@article{\n title = {FPGA prototyping of video watermarking for ownership verification based on H.264/AVC},\n type = {article},\n year = {2016},\n keywords = {Bit plane slicing,Digital watermarking,FPGA,H.264,Integer DCT,Scene change detection},\n volume = {75},\n id = {bedbfe36-3ad6-3f0a-9c16-667a24b6e7da},\n created = {2018-09-06T11:22:40.148Z},\n file_attached = {false},\n profile_id = {11ae403c-c558-3358-87f9-dadc957bb57d},\n last_modified = {2018-09-06T11:22:40.148Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {© 2015, Springer Science+Business Media New York. 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