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[null,"1.","Record Nr.",null,"UNINA9910337462403321"]
[null,null,"Autore",null,"Kothari Ashish M"]
[null,null,"Titolo",null,"Watermarking Techniques for Copyright Protection of Videos / / by Ashish M. Kothari, Vedvyas Dwivedi, Rohit M. Thanki"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-319-92837-6"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVIII, 112 p. 131 illus., 118 illus. in color.)"]
[null,null,"Collana",null,"Signals and Communication Technology, , 1860-4862"]
[null,null,"Disciplina",null,"621.382"]
[null,null,"Soggetti",null,"Signal processing"]
[{"$nulls":4},"Image processing"]
[{"$nulls":4},"Speech processing systems"]
[{"$nulls":4},"Optical data processing"]
[{"$nulls":4},"Computational intelligence"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Law and legislation"]
[{"$nulls":4},"Signal, Image and Speech Processing"]
[{"$nulls":4},"Image Processing and Computer Vision"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Legal Aspects of Computing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1. Introduction -- Chapter 2. Video Watermarking in Spatial Domain -- Chapter 3.Video Watermarking in Transform Domain -- Chapter 4. Singular Value Decomposition (SVD) based Video Watermarking Approaches -- Chapter 5. Video Watermarking in Hybrid Domain -- Chapter 6.Video Watermarking in Sparse Domain -- Chapter 7. Conclusion and Future Direction. ."]
[null,null,null,"Sommario/riassunto","The book provides copyright protection approaches for videos using watermarking. The various watermarking techniques using various transforms such as discrete cosine transform (DCT), discrete wavelet transform (DWT) and singular value decomposition (SVD) for videos are presented. The book also provides video watermarking approach using compressive sensing (CS) theory. The presented watermarking techniques are designed and implemented using color digital videos. The performance of the presented techniques is evaluated using Peak "]
[{"$nulls":4},"Signal to Noise Ratio (PSNR) and Normalized Correlation (NC)."]