01106nam a2200193   4500001000700000100004100007101000800048200015300056311004000209330044100249461008400690606002900774606001900803606002200822606002200844700002000866701001200886701001400898377737  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