<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-SEUI1LH1</identifier><date>2023</date><creator>Sehgal, Vivek Kumar</creator><creator>Singh, Surjeet</creator><relation>documents/doc/S/URN_NBN_SI_doc-SEUI1LH1_001.pdf</relation><relation>documents/doc/S/URN_NBN_SI_doc-SEUI1LH1_001.txt</relation><format format_type="issue">3</format><format format_type="volume">47</format><format format_type="type">article</format><format format_type="extent">str. 417-430</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="DOI">10.31449/inf.v47i3.4392</identifier><identifier identifier_type="COBISSID">197804803</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-SEUI1LH1</identifier><language>eng</language><publisher publisher_location="Ljubljana">Slovene Society Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">identifikacija modela kamere</subject><subject language_type_id="slv">konvolucijske nevronske mreže</subject><subject language_type_id="slv">prepoznavanje videoposnetkov</subject><subject language_type_id="slv">video forenzika</subject><title>Deep learning-based CNN multi-modal camera model identification for video source identification</title></Record>