| 000 | 02826nam a22004335i 4500 | ||
|---|---|---|---|
| 710 | 2 |
_aSpringerLink (Online service) _9106996 |
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_c111186 _d111186 |
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| 001 | 111186 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113459.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 180622s2019 gw a o |||| 0|eng d | ||
| 020 | _a9783319928371 | ||
| 024 | 7 |
_a10.1007/978-3-319-92837-1 _2doi |
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| 040 |
_bspa _dES-MaUEC _cES-MaUEC |
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| 050 | 4 |
_aQA76.9.A25 _b2019 EB |
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| 100 | 1 |
_aKothari, Ashish M. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9673223 |
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| 245 | 1 | 0 |
_aWatermarking Techniques for Copyright Protection of Videos _cby Ashish M. Kothari, Vedvyas Dwivedi, Rohit M. Thanki. |
| 264 | 1 |
_aCham _bSpringer International Publishing : _bImprint: Springer _c2019. |
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| 300 |
_a1 recurso en línea (XVIII, 112 páginas) _b131 ilustraciones, 118 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 490 | 0 |
_aSignals and Communication Technology _x1860-4862 |
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| 505 | 0 | _aChapter 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. . | |
| 520 | 3 | _aThe 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 Signal to Noise Ratio (PSNR) and Normalized Correlation (NC). | |
| 988 | _aPrimersemestre_2019_Engineering | ||
| 650 | 7 |
_2embne _aFiligranas digitales _9667787 |
|
| 700 | 1 |
_aDwivedi, Vedvyas. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aThanki, Rohit M. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9670706 |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030065300 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319928364 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319928388 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-92837-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_dz _feng _ggw _h0 _b04/2020 _eIG _zSI |
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