| 000 | 01245nam a2200229 4500 | ||
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| 001 | 377737 | ||
| 090 | _a377737 | ||
| 100 | _a20200928u y0pory50 ba | ||
| 101 | _aeng | ||
| 200 |
_aAuthentication of surveillance videos _bRecurso eletrónico _edetecting frame duplication based on residual frame _fSondos M. Fadl, Qi Han, Qiong Li |
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| 311 | _aFicheiro de 1,37 MB em formato PDF. | ||
| 330 | _aBasic principles. Proposed method. Experimental results. Dataset. Visual results. Detection performance. Evaluation metrics. Parameter values selection. Detection performance under uncompressed video format. Detection performance under lossy compression. Detection performance against additive noise attacks. Detection performance against brightness attacks. Comparison with different datasets. Running time. Conclusion and future work. | ||
| 461 |
_dJuly 2018 _vVol. 63, n. 4 _tJournal of Forensic Sciences _x0022-1198 _pp. 1099-1109 |
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| 606 |
_aANÁLISE DE VESTÍGIOS _9320649 |
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| 606 |
_aEXAME AO VIDRO _9349482 |
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| 606 |
_aFALSIFICAÇÕES _9343313 |
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| 606 |
_aVIDEOVIGILÂNCIA _9285957 |
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| 700 |
_aFADL _bSondos M. _9351486 |
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| 701 |
_aHAN _bQi _9351487 |
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| 701 |
_aLI _bQiong _9351488 |
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