01230nam a2200217   4500001000700000090001100007100004100018101000800059200015300067311004000220330044100260461008400701606002900785606001900814606002200833606002200855700002000877701001200897701001400909995008900923377737  a377737  a20200928u           y0pory50      ba  aeng  aAuthentication of surveillance videosbRecurso eletrónicoedetecting frame duplication based on residual framefSondos M. Fadl, Qi Han, Qiong Li    aFicheiro de 1,37 MB em formato PDF.  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.  dJuly 2018vVol. 63, n. 4tJournal of Forensic Sciencesx0022-1198pp. 1099-1109  aANÁLISE DE VESTÍGIOS  aEXAME AO VIDRO  aFALSIFICAÇÕES  aVIDEOVIGILÂNCIA  aFADLbSondos M.  aHANbQi  aLIbQiong  104PJCD_292_00000000000000052022-06-069405518aPJcPJkPJCD 292n2022-06-06o0rAP